Stem mine$ (all stems)

1777 papers:

CASE-2015-MicioFMBL #automation #mining #process #towards

RTLS-based Process Mining: Towards an automatic process diagnosis in healthcare (RM, FF, GM, PB, ML), pp. 1397–1402.

CASE-2015-NouaouriSA #data mining #mining #predict #problem

Evidential data mining for length of stay (LOS) prediction problem (IN, AS, HA), pp. 1415–1420.

CASE-2015-ProdelAXJL #database #integer #linear #mining #process #programming #using

Discovery of patient pathways from a national hospital database using process mining and integer linear programming (MP, VA, XX, BJ, LL), pp. 1409–1414.

DATE-2015-FarkashHS #data mining #debugging #locality #mining

Data mining diagnostics and bug MRIs for HW bug localization (MF, BGH, BS), pp. 79–84.

DocEng-2015-WidlocherBLMR #information retrieval

Combining Advanced Information Retrieval and Text-Mining for Digital Humanities (AW, NB, JML, YM, JR), pp. 157–166.

HT-2015-Orellana-Rodriguez #mining #recommendation

Mining Affective Context in Short Films for Emotion-Aware Recommendation (COR, EDA, WN), pp. 185–194.

SIGMOD-2015-AmsterdamerKM #interface #mining #named #natural language

NL2CM: A Natural Language Interface to Crowd Mining (YA, AK, TM), pp. 1433–1438.

SIGMOD-2015-BeedkarG #mining #named #scalability #sequence

LASH: Large-Scale Sequence Mining with Hierarchies (KB, RG), pp. 491–503.

SIGMOD-2015-GurukarRR #approach #commit #communication #mining #named #network #scalability

COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SG, SR, BR), pp. 475–489.

SIGMOD-2015-LiuSWRH #corpus #mining #quality

Mining Quality Phrases from Massive Text Corpora (JL, JS, CW, XR, JH), pp. 1729–1744.

SIGMOD-2015-SakuraiMF #mining

Mining and Forecasting of Big Time-series Data (YS, YM, CF), pp. 919–922.

SIGMOD-2015-TrummerHLSG #mining #web

Mining Subjective Properties on the Web (IT, AYH, HL, SS, RG), pp. 1745–1760.

VLDB-2015-DoLW #mining

Mining Revenue-Maximizing Bundling Configuration (LD, HWL, KW), pp. 593–604.

VLDB-2015-KoutraJNF #graph #interactive #mining #named #scalability #visualisation

Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool (DK, DJ, YN, CF), pp. 1924–1935.

ITiCSE-2015-AndersonNM #programming

Facilitating Programming Success in Data Science Courses through Gamified Scaffolding and Learn2Mine (PEA, TN, RAM), pp. 99–104.

ICSME-2015-LimaTFK #developer #metric #repository

Assessing developer contribution with repository mining-based metrics (JL, CT, FMFF, UK), pp. 536–540.

ICSME-2015-NagyC #fault #mining #query #sql #stack overflow

Mining Stack Overflow for discovering error patterns in SQL queries (CN, AC), pp. 516–520.

ICSME-2015-ValeM #architecture #dynamic analysis #mining #named #using

Keecle: Mining key architecturally relevant classes using dynamic analysis (LdNV, MdAM), pp. 566–570.

ICSME-2015-WangPV #corpus #mining #scalability

Developing a model of loop actions by mining loop characteristics from a large code corpus (XW, LLP, KVS), pp. 51–60.

MSR-2015-AbateCGFTZ #component #mining #repository

Mining Component Repositories for Installability Issues (PA, RDC, LG, FLF, RT, SZ), pp. 24–33.

MSR-2015-CalefatoLMN #mining #stack overflow

Mining Successful Answers in Stack Overflow (FC, FL, MCM, NN), pp. 430–433.

MSR-2015-ChowdhuryH #mining #stack overflow #topic

Mining StackOverflow to Filter Out Off-Topic IRC Discussion (SAC, AH), pp. 422–425.

MSR-2015-MartinHJSZ #mining #problem

The App Sampling Problem for App Store Mining (WM, MH, YJ, FS, YZ), pp. 123–133.

MSR-2015-MouraPEC #commit #energy #mining

Mining Energy-Aware Commits (IM, GP, FE, FC), pp. 56–67.

MSR-2015-PonzanelliML #development #mining #semistructured data

Summarizing Complex Development Artifacts by Mining Heterogeneous Data (LP, AM, ML), pp. 401–405.

MSR-2015-VasquezWBMP #android #execution #generative #mining

Mining Android App Usages for Generating Actionable GUI-Based Execution Scenarios (MLV, MW, CBC, KM, DP), pp. 111–122.

SANER-2015-LeL #metric #mining #rule-based #specification

Beyond support and confidence: Exploring interestingness measures for rule-based specification mining (TDBL, DL), pp. 331–340.

SANER-2015-MondalRS #mining #named #refactoring

SPCP-Miner: A tool for mining code clones that are important for refactoring or tracking (MM, CKR, KAS), pp. 484–488.

SANER-2015-SaiedBAS #api #mining #multi

Mining Multi-level API Usage Patterns (MAS, OB, HA, HAS), pp. 23–32.

SANER-2015-WongLT #automation #generative #mining #named #source code

CloCom: Mining existing source code for automatic comment generation (EW, TL, LT), pp. 380–389.

SCAM-2015-PanditaJSW #api #mining #using

Discovering likely mappings between APIs using text mining (RP, RPJ, SDS, LAW), pp. 231–240.

LATA-2015-ChoHK #mining

Frequent Pattern Mining with Non-overlapping Inversions (DJC, YSH, HK), pp. 121–132.

CHI-2015-CaoLLT #graph #interactive #mining #multi #named #visual notation

g-Miner: Interactive Visual Group Mining on Multivariate Graphs (NC, YRL, LL, HT), pp. 279–288.

CHI-2015-SadauskasBA #design #framework #mining #social #social media

Mining Memories: Designing a Platform to Support Social Media Based Writing (JS, DB, RKA), pp. 3691–3700.

SCSM-2015-FukudaWFHFHN #towards

Text-Mining of Hand-Over Notes for Care-Workers in Real Operation — Toward an Employee-Driven Innovation (KF, KW, TF, MH, RF, MH, TN), pp. 30–38.

CAiSE-2015-EckLLA #mining #named #process

PM²: A Process Mining Project Methodology (MLvE, XL, SJJL, WMPvdA), pp. 297–313.

ICEIS-v1-2015-Aghbari #big data #challenge #mining

Mining Big Data — Challenges and Opportunities (ZAA), pp. 379–384.

ICEIS-v1-2015-Castanon-PugaSG #algorithm #data mining #fuzzy #logic #mining #mobile #using

Hybrid-Intelligent Mobile Indoor Location Using Wi-Fi Signals — Location Method Using Data Mining Algorithms and Type-2 Fuzzy Logic Systems (MCP, ASC, CGP, GLS, MFP, EAT), pp. 609–615.

ICEIS-v1-2015-SunB #classification #mining #process

Function-based Case Classification for Improving Business Process Mining (YS, BB), pp. 251–258.

ICEIS-v2-2015-AngioniCT #collaboration #mining

Evaluating Potential Improvements of Collaborative Filtering with Opinion Mining (MA, MLC, FT), pp. 656–661.

ICEIS-v2-2015-FariasNOCM #case study #commit #email #mining #repository

Analyzing Distributions of Emails and Commits from OSS Contributors through Mining Software Repositories — An Exploratory Study (MAdFF, RLN, PO, MCJ, MGM), pp. 303–310.

ICEIS-v2-2015-TangL #framework #mining #product line #top-down

Top-down Feature Mining Framework for Software Product Line (YT, HL), pp. 71–81.

ICEIS-v3-2015-ThabetGG #analysis #mining #petri net #process

Petri Net Model Cost Extension based on Process Mining — Cost Data Description and Analysis (DT, SAG, HHBG), pp. 268–275.

ECIR-2015-Dutta #approximate #mining #named #statistics #string #using

MIST: Top-k Approximate Sub-string Mining Using Triplet Statistical Significance (SD), pp. 284–290.

ECIR-2015-Moghaddam #analysis #fault #feedback #mining #sentiment

Beyond Sentiment Analysis: Mining Defects and Improvements from Customer Feedback (SM), pp. 400–410.

KDD-2015-ArlorioCLLP #assessment #authentication #data mining #mining

Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont (MA, JDC, GL, ML, LP), pp. 1671–1680.

KDD-2015-CaiTFJH #higher-order #mining #named #performance

Facets: Fast Comprehensive Mining of Coevolving High-order Time Series (YC, HT, WF, PJ, QH), pp. 79–88.

KDD-2015-CostaYTTF #mining #modelling #named #process #social #social media

RSC: Mining and Modeling Temporal Activity in Social Media (AFC, YY, AJMT, CTJ, CF), pp. 269–278.

KDD-2015-FeldmanNPR #mining #online #predict

Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions (RF, ON, AP, BR), pp. 1779–1788.

KDD-2015-GreenCCMPM #mining

Mining Administrative Data to Spur Urban Revitalization (BG, AC, MC, RM, TP, AM), pp. 1829–1838.

KDD-2015-KimHY #mining #named #topic

TOPTRAC: Topical Trajectory Pattern Mining (YK, JH, CY), pp. 587–596.

KDD-2015-Llinares-LopezS #mining #mutation testing #performance #permutation #testing

Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing (FLL, MS, LP, KMB), pp. 725–734.

KDD-2015-RenEWH #approach #automation #corpus #mining #network #recognition #type system

Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach (XR, AEK, CW, JH), pp. 2319–2320.

KDD-2015-RiondatoU #mining

Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages (MR, EU), pp. 1005–1014.

KDD-2015-SpiliopoulouRR #mining #tutorial

Medical Mining: KDD 2015 Tutorial (MS, PPR, EMR), p. 2325.

KDD-2015-StantonTJVCS #data-driven #mining

Mining for Causal Relationships: A Data-Driven Study of the Islamic State (AS, AT, AJ, PV, AC, PS), pp. 2137–2146.

KDD-2015-TsengYHKC #detection #framework #named

FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection (VST, JCY, CWH, YK, KTC), pp. 2157–2166.

KDD-2015-WickerKDSBKW0 #data mining #mining #smell

Cinema Data Mining: The Smell of Fear (JW, NK, BD, CS, EB, TK, JW, SK), pp. 1295–1304.

KDD-2015-ZhangW15a #mining #statistics

Statistical Arbitrage Mining for Display Advertising (WZ, JW), pp. 1465–1474.

MLDM-2015-Al-SaleemAAB #education #mining #performance #predict #student

Mining Educational Data to Predict Students’ Academic Performance (MAS, NAK, SAO, GB), pp. 403–414.

MLDM-2015-DhulekarNOY #graph #learning #mining #predict

Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning (ND, SN, BO, BY), pp. 32–52.

MLDM-2015-MoldovanM #data mining #learning #mining #performance #using

Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining (DM, SM), pp. 368–381.

MLDM-2015-Perner #automation #feature model #image #mining

Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining (PP), pp. 441–451.

MLDM-2015-SalahAM #mining #optimisation #performance #pipes and filters

Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce (SS, RA, FM), pp. 217–231.

MLDM-2015-ZidaFWLT #mining #performance

Efficient Mining of High-Utility Sequential Rules (SZ, PFV, CWW, JCWL, VST), pp. 157–171.

SEKE-2015-ChenZWLPW #mining #probability #specification

Mining Universal Specification Based on Probabilistic Model (DC, YZ, RW, XL, LP, WW), pp. 471–476.

SEKE-2015-ChenZWQJW #api #mining #protocol

Extracting More Object Usage Scenarios for API Protocol Mining (DC, YZ, RW, BQ, JJ, WW), pp. 607–612.

SIGIR-2015-MaiyaVW #mining

Mining Measured Information from Text (ASM, DV, AW), pp. 899–902.

SIGIR-2015-ReinandaMR #aspect-oriented #mining #ranking #recommendation

Mining, Ranking and Recommending Entity Aspects (RR, EM, MdR), pp. 263–272.

MoDELS-2015-LeemansA #distributed #mining #modelling #process #transaction

Process mining in software systems: Discovering real-life business transactions and process models from distributed systems (ML, WMPvdA), pp. 44–53.

SAC-2015-BechetCCC #constraints #mining #multi #sequence

Sequence mining under multiple constraints (NB, PC, TC, BC), pp. 908–914.

SAC-2015-BouaskerY #anti #constraints #correlation #mining

Key correlation mining by simultaneous monotone and anti-monotone constraints checking (SB, SBY), pp. 851–856.

SAC-2015-Fournier-VigerZ #mining #named #performance

FOSHU: faster on-shelf high utility itemset mining — with or without negative unit profit (PFV, SZ), pp. 857–864.

SAC-2015-MergelSS #mining #string #visual notation

A method to support search string building in systematic literature reviews through visual text mining (GDM, MSS, TSdS), pp. 1594–1601.

SAC-2015-SantosOA #development #mining #process

Mining software development process variations (RMSS, TCO, FBeA), pp. 1657–1660.

SAC-2015-WeberFMS #mining #multi #process

Mining processes with multi-instantiation (IW, MF, JM, JGS), pp. 1231–1237.

SAC-2015-ZhangYLC #concept #debugging #mining #predict #repository

Predicting severity of bug report by mining bug repository with concept profile (TZ, GY, BL, ATSC), pp. 1553–1558.

ICSE-v1-2015-AvdiienkoKGZARB #mining

Mining Apps for Abnormal Usage of Sensitive Data (VA, KK, AG, AZ, SA, SR, EB), pp. 426–436.

ICSE-v1-2015-Landau #metadata #mining

Mining the Metadata — and Its Consequences (SL), pp. 4–5.

ICSE-v2-2015-Avdiienko #mining

Mining Patterns of Sensitive Data Usage (VA), pp. 891–894.

ICSE-v2-2015-DamSAG #mining #repository #social

Mining Software Repositories for Social Norms (HKD, BTRS, DA, AKG), pp. 627–630.

ICSE-v2-2015-Honsel #evolution #learning #mining #simulation #statistics

Statistical Learning and Software Mining for Agent Based Simulation of Software Evolution (VH), pp. 863–866.

ICSE-v2-2015-Lemieux #invariant #mining

Mining Temporal Properties of Data Invariants (CL), pp. 751–753.

CGO-2015-NagarajG #analysis #approximate #mining #pointer #using

Approximating flow-sensitive pointer analysis using frequent itemset mining (VN, RG), pp. 225–234.

SOSP-2015-TeixeiraFSSZA #distributed #graph #mining #named

Arabesque: a system for distributed graph mining (CHCT, AJF, MS, GS, MJZ, AA), pp. 425–440.

ICLP-2015-Hallen #data mining #higher-order #logic #mining #specification

Higher Order Support in Logic Specification Languages for Data Mining Applications (MvdH).

ISSTA-2015-ClappAA #data flow #mining #named #specification

Modelgen: mining explicit information flow specifications from concrete executions (LC, SA, AA), pp. 129–140.

SAT-2015-IvriiRS #incremental #mining #satisfiability

Mining Backbone Literals in Incremental SAT — A New Kind of Incremental Data (AI, VR, OS), pp. 88–103.

ASE-2014-NguyenNNN #api #approach #learning #migration #mining #statistics

Statistical learning approach for mining API usage mappings for code migration (ATN, HAN, TTN, TNN), pp. 457–468.

CASE-2014-ChangYLC #behaviour #mining #towards #video

Toward mining anomalous behavior from big moving trajectories in surveillance video (CWC, MHY, CCL, KTC), pp. 1121–1126.

CASE-2014-HajovskyPOH #energy #mining

Heat energy collection from thermally active mining dump Hedvika (RH, MP, SO, JH), pp. 44–49.

CASE-2014-HungCYDYW #behaviour #data mining #mining

Data mining for analysing kiosk usage behavior patterns (YSH, KLBC, CTY, GFD, YHY, NCW), pp. 1115–1120.

DAC-2014-LinWC #data mining #design #logic #mining #named #power management #synthesis

C-Mine: Data Mining of Logic Common Cases for Low Power Synthesis of Better-Than-Worst-Case Designs (CHL, LW, DC), p. 6.

DAC-2014-WangA #constraints #data mining #mining

Data Mining In EDA — Basic Principles, Promises, and Constraints (LCW, MSA), p. 6.

DATE-2014-FerentD #comparison #mining #novel #synthesis #using

Novel circuit topology synthesis method using circuit feature mining and symbolic comparison (CF, AD), pp. 1–4.

DATE-2014-LagraaTP #data mining #mining #scalability #simulation #using

Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces (SL, AT, FP), pp. 1–6.

HT-2014-AgarwalS #crawling #mining

A focused crawler for mining hate and extremism promoting videos on YouTube (SA, AS), pp. 294–296.

SIGMOD-2014-AmsterdamerDMNS #mining #named #query

OASSIS: query driven crowd mining (YA, SBD, TM, SN, AS), pp. 589–600.

SIGMOD-2014-AroraSB #graph #mining #statistics

Mining statistically significant connected subgraphs in vertex labeled graphs (AA, MS, AB), pp. 1003–1014.

SIGMOD-2014-GalbrunM #interactive #mining

Interactive redescription mining (EG, PM), pp. 1079–1082.

SIGMOD-2014-HanW #mining

Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.

SIGMOD-2014-MatsubaraSF #automation #co-evolution #mining #named #sequence

AutoPlait: automatic mining of co-evolving time sequences (YM, YS, CF), pp. 193–204.

SIGMOD-2014-YamamotoIF #approximate #data type #mining

Resource-oriented approximation for frequent itemset mining from bursty data streams (YY, KI, SF), pp. 205–216.

VLDB-2014-AmsterdamerDMNS #mining #ontology

Ontology Assisted Crowd Mining (YA, SBD, TM, SN, AS), pp. 1597–1600.

VLDB-2014-ElseidyASK #graph #mining #named #scalability

GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph (ME, EA, SS, PK), pp. 517–528.

VLDB-2014-LinMRW #interactive #mining #named

SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration (XL, AM, EAR, MOW), pp. 1653–1656.

VLDB-2014-WuLLH #mining

MoveMine 2.0: Mining Object Relationships from Movement Data (FW, TKHL, ZL, JH), pp. 1613–1616.

VLDB-2014-ZhangHSLP #fine-grained #mining #named #semantics

Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories (CZ, JH, LS, JL, TFLP), pp. 769–780.

VLDB-2015-El-KishkySWVH14 #corpus #mining #scalability #topic

Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.

VLDB-2015-ThirumuruganathanRAD14 #mining

Beyond Itemsets: Mining Frequent Featuresets over Structured Items (ST, HR, SA, GD), pp. 257–268.

ITiCSE-2014-EricssonW #mining #what

Mining job ads to find what skills are sought after from an employers’ perspective on IT graduates (ME, AW), p. 354.

FASE-2014-SadeghiEM #analysis #mining #repository #security

Mining the Categorized Software Repositories to Improve the Analysis of Security Vulnerabilities (AS, NE, SM), pp. 155–169.

CSMR-WCRE-2014-KashiwabaraOIHYI #mining #recommendation #using

Recommending verbs for rename method using association rule mining (YK, YO, TI, YH, TY, KI), pp. 323–327.

CSMR-WCRE-2014-MondalRS #automation #mining #ranking #refactoring

Automatic ranking of clones for refactoring through mining association rules (MM, CKR, KAS), pp. 114–123.

CSMR-WCRE-2014-OsmanLN #debugging #mining

Mining frequent bug-fix code changes (HO, ML, ON), pp. 343–347.

ICPC-2014-GhafariGMT #mining #recommendation #testing

Mining unit tests for code recommendation (MG, CG, AM, GT), pp. 142–145.

ICPC-2014-VassalloPPC #developer #mining #named #source code

CODES: mining source code descriptions from developers discussions (CV, SP, MDP, GC), pp. 106–109.

ICSME-2014-McIntoshANH #co-evolution #mining

Mining Co-change Information to Understand When Build Changes Are Necessary (SM, BA, MN, AEH), pp. 241–250.

ICSME-2014-YanMG #contract #evolution #mining

Mining Software Contracts for Software Evolution (YY, MM, WGG), pp. 471–475.

ICSME-2014-ZhouTGG #classification #data mining #debugging #mining

Combining Text Mining and Data Mining for Bug Report Classification (YZ, YT, RG, HCG), pp. 311–320.

ICSME-2014-ZhuZXJL0 #api #mining

Mining API Usage Examples from Test Code (ZZ, YZ, BX, YJ, ZL, LZ), pp. 301–310.

MSR-2014-AndersonSD #effectiveness #mining #testing

Improving the effectiveness of test suite through mining historical data (JA, SS, HD), pp. 142–151.

MSR-2014-BajajPM #developer #mining #web

Mining questions asked by web developers (KB, KP, AM), pp. 112–121.

MSR-2014-GuptaSP #fault #mining #multi #perspective #process #repository

Process mining multiple repositories for software defect resolution from control and organizational perspective (MG, AS, SP), pp. 122–131.

MSR-2014-HindleWRBCR #energy #framework #hardware #mining #named #repository

GreenMiner: a hardware based mining software repositories software energy consumption framework (AH, AW, KR, EJB, JCC, SR), pp. 12–21.

MSR-2014-KalliamvakouGBSGD #git #mining

The promises and perils of mining GitHub (EK, GG, KB, LS, DMG, DD), pp. 92–101.

MSR-2014-KononenkoBHG #mining #repository

Mining modern repositories with elasticsearch (OK, OB, RH, MWG), pp. 328–331.

MSR-2014-Mockus #mining #repository

Is mining software repositories data science? (keynote) (AM), p. 1.

MSR-2014-PintoCL #energy #mining

Mining questions about software energy consumption (GP, FC, YDL), pp. 22–31.

MSR-2014-PonzanelliBPOL #ide #mining #programming #self #stack overflow

Mining StackOverflow to turn the IDE into a self-confident programming prompter (LP, GB, MDP, RO, ML), pp. 102–111.

MSR-2014-RoblesGCCI #case study #development #mining #open source #repository

Estimating development effort in Free/Open source software projects by mining software repositories: a case study of OpenStack (GR, JMGB, CC, AC, DIC), pp. 222–231.

MSR-2014-VasquezBBOPP #android #api #empirical #energy #mining

Mining energy-greedy API usage patterns in Android apps: an empirical study (MLV, GB, CBC, RO, MDP, DP), pp. 2–11.

MSR-2014-ZhangH #dataset #energy #mining

A green miner’s dataset: mining the impact of software change on energy consumption (CZ, AH), pp. 400–403.

PLDI-2014-AlglaveMT #memory management #modelling #simulation #testing

Herding cats: modelling, simulation, testing, and data-mining for weak memory (JA, LM, MT), p. 7.

ICGT-2014-Bruggink #graph transformation #mining #process #towards

Towards Process Mining with Graph Transformation Systems (HJSB), pp. 253–268.

HCI-AS-2014-Hussain #data mining #mining

Getting the Most from CRM Systems: Data Mining in SugarCRM, Finding Important Patterns (QH), pp. 693–699.

HIMI-DE-2014-AlghamdiT #image #mining #multimodal #retrieval #semantics #towards #using

Towards Semantic Image Retrieval Using Multimodal Fusion with Association Rules Mining (RAA, MT), pp. 407–418.

HIMI-DE-2014-TakahashiA #comparison #comprehension #difference #mining #using

User Needs Search Using the Text Mining — From Commodity Comparison, Understanding the Difference of Users Awareness (YT, YA), pp. 461–467.

CAiSE-2014-ChanYGM #development #execution #mining #process

Mining Event Logs to Assist the Development of Executable Process Variants (NNC, KY, WG, JM), pp. 548–563.

CAiSE-2014-EpureHDB #flexibility #mining #process #what

What Shall I Do Next? — Intention Mining for Flexible Process Enactment (EVE, CH, RD, SB), pp. 473–487.

CAiSE-2014-FolinoGP #low level #mining #modelling #multi #predict #process

Mining Predictive Process Models out of Low-level Multidimensional Logs (FF, MG, LP), pp. 533–547.

CAiSE-2014-SenderovichWGM #mining #predict #process #queue

Queue Mining — Predicting Delays in Service Processes (AS, MW, AG, AM), pp. 42–57.

CAiSE-2014-SubeljBKB #mining #process

Automatization of the Stream Mining Process (LS, ZB, MK, MB), pp. 409–423.

EDOC-2014-Aalst #enterprise #mining #process

Process Mining as the Superglue Between Data Science and Enterprise Computing (WMPvdA), p. 1.

ICEIS-v1-2014-AmaralCRGTS #approach #data mining #framework #image #mining

The SITSMining Framework — A Data Mining Approach for Satellite Image Time Series (BFA, DYTC, LASR, RRdVG, AJMT, EPMdS), pp. 225–232.

ICEIS-v1-2014-AntunesS #data mining #mining #roadmap

New Trends in Knowledge Driven Data Mining (CA, AS), pp. 346–351.

ICEIS-v1-2014-ChinoGRTT #named #scalability

TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series (DYTC, RRdVG, LASR, CTJ, AJMT), pp. 60–69.

ICEIS-v1-2014-DominguezAERLE #data mining #fuzzy #logic #mining #roadmap #using

Advances in the Decision Making for Treatments of Chronic Patients Using Fuzzy Logic and Data Mining Techniques (MD, JA, JGE, IMR, JMLS, MJE), pp. 325–330.

ICEIS-v1-2014-GuerineRP #data mining #metaheuristic #mining

Extending the Hybridization of Metaheuristics with Data Mining to a Broader Domain (MG, IR, AP), pp. 395–406.

ICEIS-v1-2014-SilvaA #case study #mining #multi

Multi-dimensional Pattern Mining — A Case Study in Healthcare (AS, CA), pp. 273–280.

ICEIS-v2-2014-HernandesTTF #analysis #mining #using #visualisation

Using Visualization and Text Mining to Improve Qualitative Analysis (EMH, ET, ADT, SCPFF), pp. 201–208.

ICEIS-v3-2014-ThabetGG #mining #petri net #process #towards

Towards Business Process Model Extension with Cost Perspective Based on Process Mining — Petri Net Model Case (DT, SAG, HHBG), pp. 335–342.

CIKM-2014-HsiehL #mining

Mining and Planning Time-aware Routes from Check-in Data (HPH, CTL), pp. 481–490.

CIKM-2014-LiSWZJTLZZLTL #mining #named

iMiner: Mining Inventory Data for Intelligent Management (LL, CS, LW, LZ, YJ, LT, HL, LZ, CZ, TL, JT, DL), pp. 2057–2059.

CIKM-2014-LiuXD #mining #network #predict

Relationship Emergence Prediction in Heterogeneous Networks through Dynamic Frequent Subgraph Mining (YL, SX, LD), pp. 1649–1658.

CIKM-2014-MahdabiC #mining #network #recommendation #retrieval

Query-Driven Mining of Citation Networks for Patent Citation Retrieval and Recommendation (PM, FC), pp. 1659–1668.

CIKM-2014-SondhiZ #community #knowledge base #mining #natural language #online

Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites (PS, CZ), pp. 341–350.

CIKM-2014-WenR #behaviour #identification #mining #online

Identifying Latent Study Habits by Mining Learner Behavior Patterns in Massive Open Online Courses (MW, CPR), pp. 1983–1986.

CIKM-2014-XuLLZCS #mining

Latent Aspect Mining via Exploring Sparsity and Intrinsic Information (YX, TL, WL, ZZ, HC, AMCS), pp. 879–888.

CIKM-2014-ZhaoWLZ #framework #mining #refinement #word

A Bootstrapping Based Refinement Framework for Mining Opinion Words and Targets (QZ, HW, PL, CZ), pp. 1995–1998.

ECIR-2014-LuoGWL #algorithm #classification #named #network #novel

HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks (CL, RG, ZW, CL), pp. 210–221.

ECIR-2014-MarcheggianiTE0 #aspect-oriented #mining #multi #random

Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining (DM, OT, AE, FS), pp. 273–285.

ICPR-2014-HuLYLL #database #evaluation #mining #multi

Multi-camera Trajectory Mining: Database and Evaluation (YH, SL, DY, ZL, SZL), pp. 4684–4689.

KDD-2014-BordesG #graph #mining #tutorial

Constructing and mining web-scale knowledge graphs: KDD 2014 tutorial (AB, EG), p. 1967.

KDD-2014-Chen0 #big data #documentation #mining #topic

Mining topics in documents: standing on the shoulders of big data (ZC, BL), pp. 1116–1125.

KDD-2014-ChiaS #mining #predict #scalability

Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks (CCC, ZS), pp. 125–134.

KDD-2014-Etzioni #data mining #future of #mining

The battle for the future of data mining (OE), p. 1.

KDD-2014-HanWE #mining #topic

Bringing structure to text: mining phrases, entities, topics, and hierarchies (JH, CW, AEK), p. 1968.

KDD-2014-KannanBRFLVAKKUWZ #image #mining #web

Mining text snippets for images on the web (AK, SB, KR, JF, DL, LV, RA, AK, QK, MU, XJW, LZ), pp. 1534–1543.

KDD-2014-KateCPK #mining #named #safety

FoodSIS: a text mining system to improve the state of food safety in singapore (KK, SC, AP, JK), pp. 1709–1718.

KDD-2014-MatsubaraSPF #automation #mining #named

FUNNEL: automatic mining of spatially coevolving epidemics (YM, YS, WGvP, CF), pp. 105–114.

KDD-2014-SpanglerWBNDHRPCMSKLLPLDCL #automation #generative #mining

Automated hypothesis generation based on mining scientific literature (WSS, ADW, BJB, MN, TD, PJH, SR, CRP, AC, JNM, IS, LK, AL, JJL, NP, AML, LAD, YC, OL), pp. 1877–1886.

KDD-2014-TamersoyRC #detection #graph #mining #scalability

Guilt by association: large scale malware detection by mining file-relation graphs (AT, KAR, DHC), pp. 1524–1533.

KDD-2014-XuLGBB #mining #modelling #similarity

Modeling professional similarity by mining professional career trajectories (YX, ZL, AG, AB, AB), pp. 1945–1954.

KDD-2014-XuWCGSKDL #data mining #mining #network #social

Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good (JX, TLW, NVC, EKG, KS, RPK, JMD, DML), pp. 1699–1708.

KDD-2014-ZhengZLJXLSZLTLDLW #data mining #mining #optimisation #process

Applying data mining techniques to address critical process optimization needs in advanced manufacturing (LZ, CZ, LL, YJ, WX, JL, CS, WZ, HL, LT, TL, BD, ML, PW), pp. 1739–1748.

KDD-2014-ZhouL #classification #mining #multi #network

Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.

KDD-2014-ZhuSY #analysis #mining #network #social

Network mining and analysis for social applications (FZ, HS, XY), p. 1974.

KDD-2014-ZongWSSCHY #mining #scalability #towards

Towards scalable critical alert mining (BZ, YW, JS, AKS, HÇ, JH, XY), pp. 1057–1066.

KDIR-2014-BarcanteJDCCS #identification #mining #using

Identifying Drug Repositioning Targets using Text Mining (EB, MJ, FD, EC, OGC, FS), pp. 348–353.

KDIR-2014-BenhamouJSS #mining #symmetry

Symmetry Breaking in Itemset Mining (BB, SJ, LS, YS), pp. 86–96.

KDIR-2014-DuvalCCS #mining #twitter

Mining for Adverse Drug Events on Twitter (FD, EC, OGC, FS), pp. 354–359.

KDIR-2014-FahedBB #algorithm #mining #predict

Episode Rules Mining Algorithm for Distant Event Prediction (LF, AB, AB), pp. 5–13.

KDIR-2014-HubwieserM #education #mining #scalability #set

Competency Mining in Large Data Sets — Preparing Large Scale Investigations in Computer Science Education (PH, AM), pp. 315–322.

KDIR-2014-KurasEAH #data mining #mining #security

The GDR Through the Eyes of the Stasi — Data Mining on the Secret Reports of the State Security Service of the former German Democratic Republic (CK, TE, CA, GH), pp. 360–365.

KDIR-2014-MorenoGV #data mining #mining #recognition #using #word

Violence Recognition in Spanish Words using Data Mining (AFM, SBGB, JGVR), pp. 210–216.

KDIR-2014-PassonneauRX #detection #mining #scalability

Company Mention Detection for Large Scale Text Mining (RJP, TR, BX), pp. 512–520.

KDIR-2014-Rinaldi #database #mining

Text Mining Technologies for Database Curation (FR), pp. 544–548.

KDIR-2014-TisserantRP #classification #mining #semantics #statistics #twitter

Mining Tweet Data — Statistic and Semantic Information for Political Tweet Classification (GT, MR, VP), pp. 523–529.

KEOD-2014-Aalst #mining #people #process #what

No Knowledge Without Processes — Process Mining as a Tool to Find Out What People and Organizations Really Do (WMPvdA), pp. 1–11.

KEOD-2014-Talia #big data #data mining #distributed #information management #mining

Big Data Mining Services and Distributed Knowledge Discovery Applications on Clouds (DT), pp. 1–5.

KMIS-2014-SelmiHA #feedback #mining #predict

Opinion Mining for Predicting Peer Affective Feedback Helpfulness (MS, HH, EA), pp. 419–425.

KMIS-2014-VelosoPSSRA0 #data mining #mining #modelling #predict #realtime

Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units (RV, FP, MFS, ÁMS, FR, AA, JM), pp. 245–254.

MLDM-2014-DzubaB #mining #music #recommendation

Mining Users Playbacks History for Music Recommendations (AD, DB), pp. 422–430.

MLDM-2014-KuleshovB #data mining #learning #mining

Manifold Learning in Data Mining Tasks (APK, AVB), pp. 119–133.

MLDM-2014-SharmaT #mining #social #social media

A Generalized Relationship Mining Method for Social Media Text Data (TS, DT), pp. 376–392.

MLDM-2014-WangLK #concurrent #data mining #mining

Applications of Concurrent Sequential Patterns in Protein Data Mining (CW, JL, MK), pp. 243–257.

RecSys-2014-JannachF #data mining #mining #modelling #process #recommendation

Recommendation-based modeling support for data mining processes (DJ, SF), pp. 337–340.

RecSys-2014-SureshRE #mining #recommendation

Aspect-based opinion mining and recommendationsystem for restaurant reviews (VS, SR, ME), pp. 361–362.

SEKE-2014-Al-MsiedeenSHUV #implementation #object-oriented #source code

Documenting the Mined Feature Implementations from the Object-oriented Source Code of a Collection of Software Product Variants (RAM, AS, MH, CU, SV), pp. 138–143.

SEKE-2014-KaurKF #low cost #mining #using #web

Using Web Mining to Support Low Cost Historical Vehicle Traffic Analytics (CK, DK, BHF), pp. 365–370.

Onward-2014-SpasojevicLN #ecosystem #mining #type inference

Mining the Ecosystem to Improve Type Inference for Dynamically Typed Languages (BS, ML, ON), pp. 133–142.

RE-2014-GervasiZ #mining #traceability

Supporting traceability through affinity mining (VG, DZ), pp. 143–152.

SAC-2014-EvermannA #algorithm #big data #implementation #mining #process

Big data meets process mining: implementing the alpha algorithm with map-reduce (JE, GA), pp. 1414–1416.

SAC-2014-LiuTZ #constraints #mining

Mining key and referential constraints enforcement patterns (KL, HBKT, HZ), pp. 850–854.

FSE-2014-AllamanisS #mining #source code

Mining idioms from source code (MA, CAS), pp. 472–483.

FSE-2014-KrkaBM #automation #invariant #mining #specification

Automatic mining of specifications from invocation traces and method invariants (IK, YB, NM), pp. 178–189.

FSE-2014-Nguyen0NR #api #corpus #mining #scalability

Mining preconditions of APIs in large-scale code corpus (HAN, RD, TNN, HR), pp. 166–177.

FSE-2014-Wille #approach #modelling

Managing lots of models: the FaMine approach (DW), pp. 817–819.

FSE-2014-ZhouM #mining

Mining micro-practices from operational data (MZ, AM), pp. 845–848.

ICSE-2014-ChenLHXZ #developer #mining #mobile #named

AR-miner: mining informative reviews for developers from mobile app marketplace (NC, JL, SCHH, XX, BZ), pp. 767–778.

ICSE-2014-GhezziPST #behaviour #mining #modelling #web

Mining behavior models from user-intensive web applications (CG, MP, MS, GT), pp. 277–287.

ICSE-2014-NadiBKC #analysis #constraints #empirical #mining

Mining configuration constraints: static analyses and empirical results (SN, TB, CK, KC), pp. 140–151.

ICSE-2014-NegaraCDJ #detection #fine-grained #mining

Mining fine-grained code changes to detect unknown change patterns (SN, MC, DD, REJ), pp. 803–813.

ICSE-2014-NguyenNNN #interprocedural #javascript #mining #web

Mining interprocedural, data-oriented usage patterns in JavaScript web applications (HVN, HAN, ATN, TNN), pp. 791–802.

ISSTA-2014-SchurRZ #mining #modelling #multi #named #web

ProCrawl: mining test models from multi-user web applications (MS, AR, AZ), pp. 413–416.

ISSTA-2014-ZuoKS #debugging #mining #performance

Efficient predicated bug signature mining via hierarchical instrumentation (ZZ, SCK, CS), pp. 215–224.

CBSE-2013-KarveS #component #mining #online #towards

Towards mining informal online data to guide component-reuse decisions (SK, CS), pp. 65–74.

ASE-2013-FahlandLM #mining

Mining branching-time scenarios (DF, DL, SM), pp. 443–453.

ASE-2013-RegerBR #approach #mining #parametricity #specification

A pattern-based approach to parametric specification mining (GR, HB, DER), pp. 658–663.

ASE-2013-WongYT #automation #generative #mining #named

AutoComment: Mining question and answer sites for automatic comment generation (EW, JY, LT), pp. 562–567.

DATE-2013-LagraaTP #concurrent #data access #data mining #identification #memory management #mining #simulation

Data mining MPSoC simulation traces to identify concurrent memory access patterns (SL, AT, FP), pp. 755–760.

PODS-2013-KimelfeldK #complexity #mining

The complexity of mining maximal frequent subgraphs (BK, PGK), pp. 13–24.

SIGMOD-2013-AchtertKSZ #3d #coordination #data mining #interactive #mining

Interactive data mining with 3D-parallel-coordinate-trees (EA, HPK, ES, AZ), pp. 1009–1012.

SIGMOD-2013-AmsterdamerGMS #mining

Crowd mining (YA, YG, TM, PS), pp. 241–252.

SIGMOD-2013-GuilleFHZ #analysis #framework #mining #named #open source #social

SONDY: an open source platform for social dynamics mining and analysis (AG, CF, HH, DAZ), pp. 1005–1008.

SIGMOD-2013-MiliarakiBGZ #mining #scalability #sequence

Mind the gap: large-scale frequent sequence mining (IM, KB, RG, SZ), pp. 797–808.

SIGMOD-2013-MukherjiLBWRWR #interactive #mining #named #parametricity

PARAS: interactive parameter space exploration for association rule mining (AM, XL, CRB, JW, EAR, MOW, CR), pp. 1017–1020.

SIGMOD-2013-OrdonezGGCBQ #algorithm #as a service #data mining #database #in the cloud #mining #relational

Data mining algorithms as a service in the cloud exploiting relational database systems (CO, JGG, CGA, WC, VB, MSQ), pp. 1001–1004.

SIGMOD-2013-ZhuZQ #approach #graph #mining #performance

A direct mining approach to efficient constrained graph pattern discovery (FZ, ZZ, QQ), pp. 821–832.

VLDB-2013-AmsterdamerGMS #mining #named

CrowdMiner: Mining association rules from the crowd (YA, YG, TM, PS), pp. 1250–1253.

VLDB-2013-Bonomi #difference #mining #privacy

Mining Frequent Patterns with Differential Privacy (LB), pp. 1422–1427.

VLDB-2013-LinMRRW #framework #mining #named #online #parametricity

PARAS: A Parameter Space Framework for Online Association Mining (XL, AM, EAR, CR, MOW), pp. 193–204.

VLDB-2013-MousaviGZ #database #knowledge base #mining #named

IBminer: A Text Mining Tool for Constructing and Populating InfoBox Databases and Knowledge Bases (HM, SG, CZ), pp. 1330–1333.

VLDB-2013-YangZHLRW #data type #mining

Mining and Linking Patterns across Live Data Streams and Stream Archives (DY, KZ, MH, HL, EAR, MOW), pp. 1346–1349.

VLDB-2013-YuanMG #graph #mining

Mining and Indexing Graphs for Supergraph Search (DY, PM, CLG), pp. 829–840.

ITiCSE-2013-MedinaPGR #data mining #education #learning #mining #programming #using

Assistance in computer programming learning using educational data mining and learning analytics (CFM, JRPP, VMÁG, MdPPR), pp. 237–242.

FASE-2013-SanthiarPK #api #mining #testing

Discovering Math APIs by Mining Unit Tests (AS, OP, AK), pp. 327–342.

ICSM-2013-LarssonH #debugging #mining

Mining Telecom System Logs to Facilitate Debugging Tasks (AL, AHL), pp. 536–539.

ICSM-2013-MengMWB #mining #repository

Mining Software Repositories for Accurate Authorship (XM, BPM, WRW, ARB), pp. 250–259.

ICSM-2013-QianPXJZ #logic #mining #programming

Mining Logical Clones in Software: Revealing High-Level Business and Programming Rules (WQ, XP, ZX, SJ, WZ), pp. 40–49.

ICSM-2013-WangWYLLZ #categorisation #mining #multi #repository

Mining Software Profile across Multiple Repositories for Hierarchical Categorization (TW, HW, GY, CXL, XL, PZ), pp. 240–249.

MSR-2013-AllamanisS13a #mining #modelling #repository #source code #using

Mining source code repositories at massive scale using language modeling (MA, CAS), pp. 207–216.

MSR-2013-GhezziG #mining

Replicating mining studies with SOFAS (GG, HCG), pp. 363–372.

MSR-2013-HemmatiNBKWHG #mining #research

The MSR cookbook: mining a decade of research (HH, SN, OB, OK, WW, RH, MWG), pp. 343–352.

MSR-2013-HowardGPV #automation #mining #semantics #word

Automatically mining software-based, semantically-similar words from comment-code mappings (MJH, SG, LLP, KVS), pp. 377–386.

MSR-2013-LamkanfiPD #dataset #debugging #eclipse #fault #mining

The eclipse and mozilla defect tracking dataset: a genuine dataset for mining bug information (AL, JP, SD), pp. 203–206.

MSR-2013-WangDZCXZ #api #mining #source code

Mining succinct and high-coverage API usage patterns from source code (JW, YD, HZ, KC, TX, DZ), pp. 319–328.

PASTE-2013-Lu #automation #mining

Automatically mining program build information via signature matching (CDL), pp. 25–32.

SCAM-2013-BaloghB #named #visualisation

CodeMetropolis — code visualisation in MineCraft (GB, ÁB), pp. 136–141.

SCAM-2013-SokolAG #mining #named #repository #research

MetricMiner: Supporting researchers in mining software repositories (FZS, MFA, MAG), pp. 142–146.

WCRE-2013-DaiMLC #component #precise #specification

Leveraging specifications of subcomponents to mine precise specifications of composite components (ZD, XM, YL, LC), pp. 162–171.

WCRE-2013-HoraADV #mining

Mining system specific rules from change patterns (AH, NA, SD, MTV), pp. 331–340.

WCRE-2013-JaafarGHK #anti #dependence #mining

Mining the relationship between anti-patterns dependencies and fault-proneness (FJ, YGG, SH, FK), pp. 351–360.

WCRE-2013-NayrollesMV #detection #execution #mining

Improving SOA antipatterns detection in Service Based Systems by mining execution traces (MN, NM, PV), pp. 321–330.

SAS-2013-PelegSYY #automaton #mining #specification

Symbolic Automata for Static Specification Mining (HP, SS, EY, HY), pp. 63–83.

CHI-2013-KumarSTLAKT #design #mining #named #web

Webzeitgeist: design mining the web (RK, AS, CT, ML, SA, SRK, JOT), pp. 3083–3092.

CSCW-2013-ChoiHHLS #communication #mining #social #using

Mining social relationship types in an organization using communication patterns (JC, SH, JH, GL, JS), pp. 295–302.

CSCW-2013-MinWHZ #mining #smarttech #social

Mining smartphone data to classify life-facets of social relationships (JKM, JW, JIH, JZ), pp. 285–294.

DUXU-WM-2013-LiuVMM #big data #design #experience #framework #interactive #mining #visualisation

Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform (QL, MV, KPCM, AFM), pp. 543–552.

HIMI-LCCB-2013-SatonakaS #mining #visualisation

Sales Strategy Mining System with Visualization of Action History (HS, WS), pp. 588–597.

HIMI-LCCB-2013-TakahashiA #mining #using

User Needs Search Using Text Mining (YT, YA), pp. 607–615.

HIMI-LCCB-2013-YuL #approach #feedback #mining

Exploring User Feedback of a E-Learning System: A Text Mining Approach (WBY, RL), pp. 182–191.

OCSC-2013-Abascal-MenaLZ #analysis #behaviour #mining #twitter

User Generated Content: An Analysis of User Behavior by Mining Political Tweets (RAM, ÉLO, JSZH), pp. 3–12.

ICEIS-J-2013-KalsingITN13a #incremental #legacy #mining #modelling #process #using

Re-learning of Business Process Models from Legacy System Using Incremental Process Mining (ACK, CI, LHT, GSdN), pp. 314–330.

ICEIS-v1-2013-al-KetbiC #data mining #integration #mining

Integration of Decision Support Systems and Data Mining for Improved Decision Making (OaK, MC), pp. 482–489.

ICEIS-v1-2013-SonodaM #mining #statistics

Mining Japanese Collocation by Statistical Indicators (TS, TM), pp. 381–388.

ICEIS-v2-2013-KalsingITN #incremental #learning #legacy #mining #modelling #process #using

Evolutionary Learning of Business Process Models from Legacy Systems using Incremental Process Mining (ACK, CI, LHT, GSdN), pp. 58–69.

CIKM-2013-BonomiX #algorithm #difference #mining #privacy

A two-phase algorithm for mining sequential patterns with differential privacy (LB, LX), pp. 269–278.

CIKM-2013-BrossE #automation #bibliography #mining #sentiment

Automatic construction of domain and aspect specific sentiment lexicons for customer review mining (JB, HE), pp. 1077–1086.

CIKM-2013-Giles #big data #data mining #information management #mining

Scholarly big data: information extraction and data mining (CLG), pp. 1–2.

CIKM-2013-HanW #graph #mining #scalability

Mining frequent neighborhood patterns in a large labeled graph (JH, JRW), pp. 259–268.

CIKM-2013-JabbourSS #mining #satisfiability #sequence

Boolean satisfiability for sequence mining (SJ, LS, YS), pp. 649–658.

CIKM-2013-JabbourSSU #approach

Mining-based compression approach of propositional formulae (SJ, LS, YS, TU), pp. 289–298.

CIKM-2013-KimCHZRD #feedback #mining #modelling #topic

Mining causal topics in text data: iterative topic modeling with time series feedback (HDK, MC, MH, CZ, TAR, DD), pp. 885–890.

CIKM-2013-LiaoPPL #behaviour #mining #mobile #on the #predict #smarttech

On mining mobile apps usage behavior for predicting apps usage in smartphones (ZXL, YCP, WCP, PRL), pp. 609–618.

CIKM-2013-LiHZW #clustering #mining

Mining entity attribute synonyms via compact clustering (YL, BJPH, CZ, KW), pp. 867–872.

CIKM-2013-LiuLAM #mining #personalisation #recommendation

Personalized point-of-interest recommendation by mining users’ preference transition (XL, YL, KA, CM), pp. 733–738.

CIKM-2013-LiuTCALC #mining

Mining diabetes complication and treatment patterns for clinical decision support (LL, JT, YC, AA, WkL, ANC), pp. 279–288.

CIKM-2013-QianSYZL #mining #query

Dynamic query intent mining from a search log stream (YnQ, TS, JY, QZ, CL), pp. 1205–1208.

CIKM-2013-SubbianAS #analysis #mining #social

Content-centric flow mining for influence analysis in social streams (KS, CCA, JS), pp. 841–846.

CIKM-2013-Zhang0D #corpus #mining #query

Mining a search engine’s corpus without a query pool (MZ, NZ, GD), pp. 29–38.

ECIR-2013-GalitskyK #mining #web

A Web Mining Tool for Assistance with Creative Writing (BG, SOK), pp. 828–831.

KDD-2013-AnchuriZBGS #approximate #graph #mining

Approximate graph mining with label costs (PA, MJZ, OB, SG, MS), pp. 518–526.

KDD-2013-ChengXCACG #mining #named #realtime #social #social media

JobMiner: a real-time system for mining job-related patterns from social media (YC, YX, ZC, AA, ANC, SG), pp. 1450–1453.

KDD-2013-DanilevskyWTNCDWH #mining #named #semistructured data #topic

AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data (MD, CW, FT, SN, GC, ND, LW, JH), pp. 1458–1461.

KDD-2013-EmersonWN #data mining #mining #profiling

A data mining driven risk profiling method for road asset management (DE, JW, RN), pp. 1267–1275.

KDD-2013-FriezeGT #algorithm #graph #mining #modelling #scalability

Algorithmic techniques for modeling and mining large graphs (AMAzING) (AMF, AG, CET), p. 1523.

KDD-2013-KaramshukNSNM #mining #named #online

Geo-spotting: mining online location-based services for optimal retail store placement (DK, AN, SS, VN, CM), pp. 793–801.

KDD-2013-KongCY #classification #correlation #mining #multi #network

Multi-label classification by mining label and instance correlations from heterogeneous information networks (XK, BC, PSY), pp. 614–622.

KDD-2013-LiWHHRY #ambiguity #mining

Mining evidences for named entity disambiguation (YL, CW, FH, JH, DR, XY), pp. 1070–1078.

KDD-2013-PapadimitriouE #bibliography #mining #mobile

Mining data from mobile devices: a survey of smart sensing and analytics (SP, TER), p. 1524.

KDD-2013-RanuHS #mining #network

Mining discriminative subgraphs from global-state networks (SR, MXH, AKS), pp. 509–517.

KDD-2013-RautiainenSHYK #concept #mining #online

An online system with end-user services: mining novelty concepts from tv broadcast subtitles (MR, JS, AH, MY, VK), pp. 1486–1489.

KDD-2013-Schadt #mining #personalisation

Mining the digital universe of data to develop personalized cancer therapies (EES), p. 1134.

KDD-2013-ShakarianRCK #community #composition #distance #mining #network #social

Mining for geographically disperse communities in social networks by leveraging distance modularity (PS, PR, DC, CK), pp. 1402–1409.

KDD-2013-ShenY #difference #graph #mining #privacy

Mining frequent graph patterns with differential privacy (ES, TY), pp. 545–553.

KDD-2013-TangYGHLP #cyber-physical #mining

Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system (LAT, XY, QG, JH, AL, TFLP), pp. 410–418.

KDD-2013-TaoLHZCDDDGJKKLLLLOSTWZZ #mining #multi #named

EventCube: multi-dimensional search and mining of structured and text data (FT, KHL, JH, CZ, XC, MD, ND, BD, JG, HJ, RK, AK, QL, YL, CXL, JL, NCO, ANS, RT, CW, DZ, BZ), pp. 1494–1497.

KDD-2013-WangDDZNTH #framework #mining #recursion #topic

A phrase mining framework for recursive construction of a topical hierarchy (CW, MD, ND, YZ, PN, TT, JH), pp. 437–445.

KDD-2013-WangDYWCSI #clustering #data mining #framework #identification #mining #towards

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification (DW, WD, KY, XW, PC, DLS, SI), pp. 1285–1293.

KDD-2013-WangLSG #mining #multi

Mining evolutionary multi-branch trees from text streams (XW, SL, YS, BG), pp. 722–730.

KDD-2013-WuLYT #mining #sequence

Mining high utility episodes in complex event sequences (CWW, YFL, PSY, VST), pp. 536–544.

KDD-2013-ZengJZLLLSZLDLW #data mining #distributed #mining #named #performance

FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environment (CZ, YJ, LZ, JL, LL, HL, CS, WZ, TL, BD, ML, PW), pp. 1506–1509.

KDIR-KMIS-2013-GengUA #algorithm #mining

Trajectory Pattern Mining in Practice — Algorithms for Mining Flock Patterns from Trajectories (XG, TU, HA), pp. 143–151.

KDIR-KMIS-2013-MeiselBI #mining #query

Mining the Long Tail of Search Queries — Finding Profitable Patterns (MM, MB, AI), pp. 225–229.

KDIR-KMIS-2013-PereiraRT #data mining #mining #source code #student

Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs (RTP, ACR, JJT), pp. 136–142.

KDIR-KMIS-2013-PfeiferP #mining #taxonomy

Mapping Text Mining Taxonomies (KP, EP), pp. 5–16.

KDIR-KMIS-2013-RauchS #case study #mining #using

Using Domain Knowledge in Association Rules Mining — Case Study (JR, MS), pp. 104–111.

MLDM-2013-AllahSG #algorithm #array #dataset #mining #performance #scalability

An Efficient and Scalable Algorithm for Mining Maximal — High Confidence Rules from Microarray Dataset (WZAA, YKES, FFMG), pp. 352–366.

MLDM-2013-DittakanCC #case study #comparative #image #mining

Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland (KD, FC, RC), pp. 260–274.

MLDM-2013-GaoD #data mining #distributed #mining #performance #using

Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow (JG, JD), pp. 69–83.

MLDM-2013-LiM #community #mining #network #topic

Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.

MLDM-2013-ValencioKMSM #3d #data mining #mining #visualisation

3D Geovisualisation Techniques Applied in Spatial Data Mining (CRV, TK, CAdM, RCGdS, JMM), pp. 57–68.

SEKE-2013-Al-MsiedeenSHUVS #concept analysis #mining #object-oriented #semantics #source code #using

Mining Features from the Object-Oriented Source Code of a Collection of Software Variants Using Formal Concept Analysis and Latent Semantic Indexing (RAM, ADS, MH, CU, SV, HES), pp. 244–249.

SEKE-2013-DelfimG #coordination #mining #multi #slicing #using

Multiple Coordinated Views to Support Aspect Mining Using Program Slicing (S) (FMD, REG), pp. 531–536.

SEKE-2013-MaffortVBHAM #design pattern #mining #using

Mining Architectural Patterns Using Association Rules (CAM, MTV, RdSB, AH, NA, JM), pp. 375–380.

SEKE-2013-MarcalGCJ #identification #mining #repository #using

Mining Software Repository to Identify Crosscutting Concerns Using Combined Techniques (S) (IM, REG, RCMC, COJ), pp. 338–343.

SEKE-2013-PytelBG #mining #validation

Proposal and Validation of a Feasibility Model for Information Mining Projects (S) (PP, PB, RGM), pp. 83–88.

SIGIR-2013-GuoJLYA #interactive #mining #mobile #predict #web

Mining touch interaction data on mobile devices to predict web search result relevance (QG, HJ, DL, SY, EA), pp. 153–162.

SIGIR-2013-JiangN #mining #topic #web

Mining web search topics with diverse spatiotemporal patterns (DJ, WN), pp. 881–884.

SIGIR-2013-SakaiDYLZKSI #mining #summary #topic

Summary of the NTCIR-10 INTENT-2 task: subtopic mining and search result diversification (TS, ZD, TY, YL, MZ, MPK, RS, MI), pp. 761–764.

GPCE-2013-0001RN #abstract syntax tree #declarative #fine-grained #mining #source code

Declarative visitors to ease fine-grained source code mining with full history on billions of AST nodes (RD, HR, TNN), pp. 23–32.

RE-2013-MasseyEAS #analysis #automation #documentation #mining #policy #requirements

Automated text mining for requirements analysis of policy documents (AKM, JE, AIA, PPS), pp. 4–13.

SAC-2013-AccorsiSM #mining #on the #process #security

On the exploitation of process mining for security audits: the process discovery case (RA, TS, GM), pp. 1462–1468.

SAC-2013-CameronCL #memory management #mining #set

Stream mining of frequent sets with limited memory (JJC, AC, CKSL), pp. 173–175.

SAC-2013-DurelliSADC #bibliography #mining

A systematic review on mining techniques for crosscutting concerns (RSD, DSMS, NA, MED, VVdC), pp. 1080–1087.

SAC-2013-Fournier-VigerT #mining #named

TNS: mining top-k non-redundant sequential rules (PFV, VST), pp. 164–166.

SAC-2013-LeoniA #mining #process #using

Data-aware process mining: discovering decisions in processes using alignments (MdL, WMPvdA), pp. 1454–1461.

SAC-2013-LiZSL #approach #graph #mining #named #novel

WAVE-CIA: a novel CIA approach based on call graph mining (BL, QZ, XS, HL), pp. 1000–1005.

SAC-2013-MaunzVH #graph #mining

Out-of-bag discriminative graph mining (AM, DV, CH), pp. 109–114.

SAC-2013-PerazzoWM #framework

A data warehouse as an infrastructure to mine molecular descriptors for virtual screening (GXP, ATW, KSM), pp. 1335–1336.

SAC-2013-ZhangHMZMM #data type #mining

Mining frequent itemsets over tuple-evolving data streams (CZ, YH, MM, CZ, HM, FM), pp. 267–274.

ESEC-FSE-2013-SchurRZ #behaviour #enterprise #mining #modelling #web

Mining behavior models from enterprise web applications (MS, AR, AZ), pp. 422–432.

ESEC-FSE-2013-SunK #debugging #mining

Mining succinct predicated bug signatures (CS, SCK), pp. 576–586.

ICSE-2013-BettenburgB #development #mining

Deciphering the story of software development through frequent pattern mining (NB, AB), pp. 1197–1200.

ICSE-2013-SharTB #hybrid #injection #mining #program analysis #sql #using

Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis (LKS, HBKT, LCB), pp. 642–651.

PLEASE-2013-HuangYKHU #analysis #domain-specific language #mining #repository #towards

Domain analysis for mining software repositories: Towards feature-based DSL construction (CH, KY, YK, KH, NU), pp. 41–44.

SPLC-2013-FerrariSd #documentation #mining #natural language

Mining commonalities and variabilities from natural language documents (AF, GOS, FD), pp. 116–120.

ICTSS-2013-ElyasovPH #algebra #mining #specification

Guided Algebraic Specification Mining for Failure Simplification (AE, ISWBP, JH), pp. 223–238.

ASE-2012-DingFLLZSX #mining #online #repository

Healing online service systems via mining historical issue repositories (RD, QF, JGL, QL, DZ, JS, TX), pp. 318–321.

CASE-2012-DunnTRR #mining #navigation

High accuracy inertial navigation for underground mining machinery (MTD, JPT, PBR, DCR), pp. 1179–1183.

CASE-2012-HoSY #data mining #mining #modelling

Data Mining of Life Log for Developing a User model-based Service Application (YH, ESS, TY), pp. 757–760.

DAC-2012-LiSJ #crowdsourcing #named #towards #verification

CrowdMine: towards crowdsourced human-assisted verification (WL, SAS, SJ), pp. 1254–1255.

DATE-2012-MitraBD #formal method #mining #ranking

Formal methods for ranking counterexamples through assumption mining (SM, AB, PD), pp. 911–916.

DocEng-2012-WidlocherM #corpus #framework #mining

The Glozz platform: a corpus annotation and mining tool (AW, YM), pp. 171–180.

SIGMOD-2012-AkogluCKKF #graph #mining #named #scalability #visualisation

OPAvion: mining and visualization in large graphs (LA, DHC, UK, DK, CF), pp. 717–720.

SIGMOD-2012-FaloutsosK #algorithm #graph #mining #scalability

Managing and mining large graphs: patterns and algorithms (CF, UK), pp. 585–588.

SIGMOD-2012-MongioviBRSPF #mining #named #network

SigSpot: mining significant anomalous regions from time-evolving networks (abstract only) (MM, PB, RR, AKS, EEP, CF), p. 865.

SIGMOD-2012-ShaoWX #graph #implementation #mining #scalability

Managing and mining large graphs: systems and implementations (BS, HW, YX), pp. 589–592.

VLDB-2012-LiQSC #difference #mining #named #privacy

PrivBasis: Frequent Itemset Mining with Differential Privacy (NL, WHQ, DS, JC), pp. 1340–1351.

VLDB-2012-SachanB #mining #statistics #string #using

Mining Statistically Significant Substrings using the Chi-Square Statistic (MS, AB), pp. 1052–1063.

VLDB-2012-SilvaMZ #correlation #graph #mining #scalability

Mining Attribute-structure Correlated Patterns in Large Attributed Graphs (AS, WMJ, MJZ), pp. 466–477.

VLDB-2012-SunHYY #analysis #approach #mining #network

Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (YS, JH, XY, PSY), pp. 2022–2023.

VLDB-2012-TongCCY #database #mining #nondeterminism

Mining Frequent Itemsets over Uncertain Databases (YT, LC, YC, PSY), pp. 1650–1661.

VLDB-2013-ZengNC12 #mining #on the

On differentially private frequent itemset mining (CZ, JFN, JYC), pp. 25–36.

WCRE-J-2009-LoRRV12 #algorithm #evaluation #mining #quantifier

Mining quantified temporal rules: Formalism, algorithms, and evaluation (DL, GR, VPR, KV), pp. 743–759.

CSMR-2012-HashimotoM #analysis #fine-grained #mining

Enhancing History-Based Concern Mining with Fine-Grained Change Analysis (MH, AM), pp. 75–84.

CSMR-2012-NadiH #detection #linux #mining #variability

Mining Kbuild to Detect Variability Anomalies in Linux (SN, RCH), pp. 107–116.

CSMR-2012-PetersZ #mining #repository #smell #using

Evaluating the Lifespan of Code Smells using Software Repository Mining (RP, AZ), pp. 411–416.

ICPC-2012-PanichellaAPMC #developer #mining #source code

Mining source code descriptions from developer communications (SP, JA, MDP, AM, GC), pp. 63–72.

MSR-2012-BaysalHG #development #mining

Mining usage data and development artifacts (OB, RH, MWG), pp. 98–107.

MSR-2012-Breckel #comparison #database #debugging #detection #fault #mining #scalability

Error mining: Bug detection through comparison with large code databases (AB), pp. 175–178.

MSR-2012-HarmanJZ #analysis #mining

App store mining and analysis: MSR for app stores (MH, YJ, YZ), pp. 108–111.

MSR-2012-Hindle #mining #power management

Green mining: A methodology of relating software change to power consumption (AH), pp. 78–87.

MSR-2012-KeivanlooFHENPR #framework #linked data #mining #open data #repository

A Linked Data platform for mining software repositories (IK, CF, AH, ME, CN, GP, JR), pp. 32–35.

MSR-2012-ReinaR #android #locality #mining

Mining for localization in Android (LAR, GR), pp. 136–139.

MSR-2012-ShihabKB #android #challenge #framework #mining

Mining challenge 2012: The Android platform (ES, YK, PB), pp. 112–115.

MSR-2012-SinhaMG #android #mining #named

MINCE: Mining change history of Android project (VSS, SM, MG), pp. 132–135.

WCRE-2012-TeytonFB #graph #library #migration #mining

Mining Library Migration Graphs (CT, JRF, XB), pp. 289–298.

WCRE-2012-ZiftciK #data mining #feature model #mining #using

Feature Location Using Data Mining on Existing Test-Cases (CZ, IK), pp. 155–164.

IFL-2012-WuMBS #case study #experience #lazy evaluation #mining

Pure and Lazy λ Mining — An Experience Report (NW, JPM, JB, WS), pp. 207–223.

CHI-2012-RofoueiWBT #interactive #multi

Your phone or mine?: fusing body, touch and device sensing for multi-user device-display interaction (MR, ADW, AJBB, ST), pp. 1915–1918.

CSCW-2012-LiaoPZG #community

Your space or mine?: community management and user participation in a chinese corporate blogging community (QL, YP, MXZ, TG), pp. 315–324.

CAiSE-2012-EngelAZPW #case study #mining #modelling #process

Mining Inter-organizational Business Process Models from EDI Messages: A Case Study from the Automotive Sector (RE, WMPvdA, MZ, CP, HW), pp. 222–237.

CAiSE-2012-LyIMR #data transformation #mining #process #semantics

Data Transformation and Semantic Log Purging for Process Mining (LTL, CI, JM, SRM), pp. 238–253.

ICEIS-J-2012-AyresS12a #mining #similarity

Exploring Similarity Relations According to Different Contexts in Mining Generalized Association Rules (RMJA, MTPS), pp. 137–152.

ICEIS-J-2012-FabbriHTBZS12a #mining #using #visualisation

Using Information Visualization and Text Mining to Facilitate the Conduction of Systematic Literature Reviews (SF, EMH, ADT, AB, AZ, CS), pp. 243–256.

ICEIS-v1-2012-AyresS #fuzzy #mining #ontology #similarity #using

Mining Generalized Association Rules using Fuzzy Ontologies with Context-based Similarity (RMJA, MTPS), pp. 74–83.

ICEIS-v1-2012-ZianiRO #approach #constraints #mining #multi

A Constraint-based Mining Approach for Multi-attribute Index Selection (BZ, FR, YO), pp. 93–98.

ICEIS-v2-2012-LukaszewskiJL #data mining #mining #ontology #semantics #using

Attribute Value Ontology — Using Semantics in Data Mining (TL, JJ, AL), pp. 329–334.

CIKM-2012-AmiriC #mining #sentiment

Mining sentiment terminology through time (HA, TSC), pp. 2060–2064.

CIKM-2012-BhuiyanMH #interactive #mining

Interactive pattern mining on hidden data: a sampling-based solution (MB, SM, MAH), pp. 95–104.

CIKM-2012-DaiZLP #mining #web

Mining coherent anomaly collections on web data (HD, FZ, EPL, HP), pp. 1557–1561.

CIKM-2012-DongFSZY #framework #mining

A general framework to encode heterogeneous information sources for contextual pattern mining (WD, WF, LS, CZ, XY), pp. 65–74.

CIKM-2012-HaiCC #mining

One seed to find them all: mining opinion features via association (ZH, KC, GC), pp. 255–264.

CIKM-2012-HuHXLUZ #analysis #mining

Finding nuggets in IP portfolios: core patent mining through textual temporal analysis (PH, MH, PX, WL, AKU, XZ), pp. 1819–1823.

CIKM-2012-IntagornL #approach #mining #probability #social

A probabilistic approach to mining geospatial knowledge from social annotations (SI, KL), pp. 1717–1721.

CIKM-2012-KacimiG #mining #named

MOUNA: mining opinions to unveil neglected arguments (MK, JG), pp. 2722–2724.

CIKM-2012-KozawaAK #database #gpu #mining #nondeterminism #probability

GPU acceleration of probabilistic frequent itemset mining from uncertain databases (YK, TA, HK), pp. 892–901.

CIKM-2012-LiSSTDL #microblog #mining #topic

Mining topic-level opinion influence in microblog (DL, XS, GS, JT, YD, ZL), pp. 1562–1566.

CIKM-2012-LiuCBLR #graph #mining

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs (WL, JC, JB, CL, KR), pp. 435–444.

CIKM-2012-LiuQ #generative #mining

Mining high utility itemsets without candidate generation (ML, JFQ), pp. 55–64.

CIKM-2012-MoghaddamE #design #mining #modelling #on the

On the design of LDA models for aspect-based opinion mining (SM, ME), pp. 803–812.

CIKM-2012-QiYZZ #mining #multi

Mining noisy tagging from multi-label space (ZQ, MY, Z(Z, ZZ), pp. 1925–1929.

CIKM-2012-RiondatoDFU #algorithm #approximate #mining #named #parallel #pipes and filters #random

PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce (MR, JAD, RF, EU), pp. 85–94.

CIKM-2012-TangZLW #mining #quality #recommendation

Incorporating occupancy into frequent pattern mining for high quality pattern recommendation (LT, LZ, PL, MW), pp. 75–84.

CIKM-2012-TanLZ #mining

Mining long-lasting exploratory user interests from search history (BT, YL, CZ), pp. 1477–1481.

CIKM-2012-WangH0 #framework #image #learning #mining #web

A unified learning framework for auto face annotation by mining web facial images (DW, SCHH, YH), pp. 1392–1401.

CIKM-2012-WicaksonoM #mining

Mining advices from weblogs (AFW, SHM), pp. 2347–2350.

CIKM-2012-WongCTP #using #web

Mixed-initiative conversational system using question-answer pairs mined from the web (WW, LC, JT, LP), pp. 2707–2709.

CIKM-2012-YamamotoSIYWT #clustering #mining #query

The wisdom of advertisers: mining subgoals via query clustering (TY, TS, MI, CY, JRW, KT), pp. 505–514.

CIKM-2012-YangTKZLDLW #learning #mining #network

Mining competitive relationships by learning across heterogeneous networks (YY, JT, JK, YZ, JL, YD, TL, LW), pp. 1432–1441.

CIKM-2012-ZhuGCL #behaviour #mining #query #recommendation

More than relevance: high utility query recommendation by mining users’ search behaviors (XZ, JG, XC, YL), pp. 1814–1818.

ICPR-2012-DaiFZ #detection #mining

Mining sub-categories for object detection (JD, JF, JZ), pp. 3260–3263.

ICPR-2012-FuscoWY #mining

Mining residential household information from low-resolution smart meter data (FF, MW, JWY), pp. 3545–3548.

ICPR-2012-ZhangZHHT #detection #mining #semantics

Semantic windows mining in sliding window based object detection (JZ, XZ, YH, KH, TT), pp. 3264–3267.

KDD-2012-BatalFHMH #detection #mining #multi

Mining recent temporal patterns for event detection in multivariate time series data (IB, DF, JH, FM, MH), pp. 280–288.

KDD-2012-BodenGHS #graph #mining #multi

Mining coherent subgraphs in multi-layer graphs with edge labels (BB, SG, HH, TS), pp. 1258–1266.

KDD-2012-ChanLLBR #graph #mining #multi #named

SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs (JC, WL, CL, JB, KR), pp. 651–659.

KDD-2012-DuivesteijnFK #distance #mining #modelling

Different slopes for different folks: mining for exceptional regression models with cook’s distance (WD, AF, AJK), pp. 868–876.

KDD-2012-FengHKBP #graph #mining

Summarization-based mining bipartite graphs (JF, XH, BK, CB, CP), pp. 1249–1257.

KDD-2012-GalbrunM #interactive #mining #named #visualisation

Siren: an interactive tool for mining and visualizing geospatial redescriptions (EG, PM), pp. 1544–1547.

KDD-2012-GuptaGSH #community #detection #mining

Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.

KDD-2012-Han #mining #network

Mining heterogeneous information networks: the next frontier (JH), pp. 2–3.

KDD-2012-HendersonGETBAKFL #graph #mining #named #scalability

RolX: structural role extraction & mining in large graphs (KH, BG, TER, HT, SB, LA, DK, CF, LL), pp. 1231–1239.

KDD-2012-Holmes #data mining #mining

Developing data mining applications (GH), p. 225.

KDD-2012-LappasVG #invariant #mining #performance

Efficient and domain-invariant competitor mining (TL, GV, DG), pp. 408–416.

KDD-2012-Li12b #algorithm #graph #mining #nondeterminism

Algorithms for mining uncertain graph data (JL), p. 813.

KDD-2012-Lin #case study #data mining #experience #machine learning #mining

Experiences and lessons in developing industry-strength machine learning and data mining software (CJL), p. 1176.

KDD-2012-LiuBEWFZ #comparison #mining #scalability

Mining large-scale, sparse GPS traces for map inference: comparison of approaches (XL, JB, JE, YW, GF, YZ), pp. 669–677.

KDD-2012-LiWH #mining

Mining event periodicity from incomplete observations (ZL, JW, JH), pp. 444–452.

KDD-2012-MaoCCLKB #approach #data mining #mining #monitoring #realtime

An integrated data mining approach to real-time clinical monitoring and deterioration warning (YM, WC, YC, CL, MK, TCB), pp. 1140–1148.

KDD-2012-MatsubaraSFIY #mining #performance

Fast mining and forecasting of complex time-stamped events (YM, YS, CF, TI, MY), pp. 271–279.

KDD-2012-MukherjeeL #mining

Mining contentions from discussions and debates (AM, BL), pp. 841–849.

KDD-2012-RakthanmanonCMBWZZK #mining #sequence

Searching and mining trillions of time series subsequences under dynamic time warping (TR, BJLC, AM, GEAPAB, MBW, QZ, JZ, EJK), pp. 262–270.

KDD-2012-ShaferRBAGF #approach #mining #monitoring #named

RainMon: an integrated approach to mining bursty timeseries monitoring data (IS, KR, VNB, YA, GRG, CF), pp. 1158–1166.

KDD-2012-SondhiSTZ #framework #graph #mining #named

SympGraph: a framework for mining clinical notes through symptom relation graphs (PS, JS, HT, CZ), pp. 1167–1175.

KDD-2012-TangWYHZYGHXLU #analysis #mining #named #topic

PatentMiner: topic-driven patent analysis and mining (JT, BW, YY, PH, YZ, XY, BG, MH, PX, WL, AKU), pp. 1366–1374.

KDD-2012-TongCY #mining #named #nondeterminism

UFIMT: an uncertain frequent itemset mining toolbox (YT, LC, PSY), pp. 1508–1511.

KDD-2012-WoznicaNK #feature model #mining #robust

Model mining for robust feature selection (AW, PN, AK), pp. 913–921.

KDD-2012-WuSTY #mining

Mining top-K high utility itemsets (CWW, BES, VST, PSY), pp. 78–86.

KDD-2012-YinZC #algorithm #mining #named #performance

USpan: an efficient algorithm for mining high utility sequential patterns (JY, ZZ, LC), pp. 660–668.

KDD-2012-YuDSW #feature model #mining #streaming

Mining emerging patterns by streaming feature selection (KY, WD, DAS, XW), pp. 60–68.

KDD-2012-YuZSWWQZ #analysis #data mining #in the cloud #mining #named #network #social

BC-PDM: data mining, social network analysis and text mining system based on cloud computing (LY, JZ, WCS, BW, BW, LQ, BRZ), pp. 1496–1499.

KDD-2012-ZhangL #component #constraints #mining #rank #recognition

Mining discriminative components with low-rank and sparsity constraints for face recognition (QZ, BL), pp. 1469–1477.

KDIR-2012-ArbelaitzGLMPP #adaptation #clustering #mining #navigation #profiling #using

Adaptation of the User Navigation Scheme using Clustering and Frequent Pattern Mining Techiques for Profiling (OA, IG, AL, JM, JMP, IP), pp. 187–192.

KDIR-2012-ArbelaitzGLMPP12a #adaptation #mining #web

Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information (OA, IG, AL, JM, JMP, IP), pp. 287–292.

KDIR-2012-BhattacharjeeBG #data mining #mining #network #optimisation #using

Product Assortment Decisions for a Network of Retail Stores using Data Mining with Optimization (SB, FB, RDG), pp. 319–323.

KDIR-2012-GayLM #approach #constraints #mining #multi #sequence

Constraint-programming Approach for Multiset and Sequence Mining (PG, BL, JM), pp. 212–220.

KEOD-2012-KhairMZ #data mining #education #mining #roadmap #student #using

Creating an Educational Roadmap for Engineering Students via an Optimal and Iterative Yearly Regression Tree using Data Mining (MK, CEM, WZ), pp. 43–52.

KMIS-2012-PortelaPS #data mining #mining #modelling #pervasive #predict

Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine (FP, FP, MFS), pp. 81–88.

MLDM-2012-LiHO #approach #correlation #mining

Top-N Minimization Approach for Indicative Correlation Change Mining (AL, MH, YO), pp. 102–116.

MLDM-2012-MacchiaCM #mining #modelling #network #ranking

Mining Ranking Models from Dynamic Network Data (LM, MC, DM), pp. 566–577.

MLDM-2012-MondalPMMB #approach #clustering #concept analysis #mining #using

A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis (KCM, NP, AM, UM, SB), pp. 86–101.

MLDM-2012-PipanmaekapornL #effectiveness #mining

A Pattern Discovery Model for Effective Text Mining (LP, YL), pp. 540–554.

RecSys-2012-YangCZLY #feedback #mining #music #recommendation

Local implicit feedback mining for music recommendation (DY, TC, WZ, QL, YY), pp. 91–98.

SEKE-2012-WangXC #linear #mining #network #social

Sparse Linear Influence Model for Hot User Selection on Mining a Social Network (YW, GX, SKC), pp. 1–6.

SEKE-2012-ZhangLS #graph #impact analysis #mining

Mining Call Graph for Change Impact Analysis (QZ, BL, XS), pp. 7–12.

SIGIR-2012-CareniniM #mining

Methods for mining and summarizing text conversations (GC, GM), pp. 1178–1179.

SIGIR-2012-GaoWL #graph #information retrieval #learning #mining #scalability

Large-scale graph mining and learning for information retrieval (BG, TW, TYL), pp. 1194–1195.

SIGIR-2012-HuQLJPZ #mining #query #topic

Mining query subtopics from search log data (YH, YnQ, HL, DJ, JP, QZ), pp. 305–314.

SIGIR-2012-Khatiban #mining #trust #using

Building reputation and trust using federated search and opinion mining (SK), p. 994.

SIGIR-2012-MoghaddamE #mining

Aspect-based opinion mining from product reviews (SM, ME), p. 1184.

SIGIR-2012-RaeMPB #mining #web

Mining the web for points of interest (AR, VM, AP, HB), pp. 711–720.

SIGIR-2012-RaveendranC #lightweight #mining #summary

Lightweight contrastive summarization for news comment mining (GR, CLAC), pp. 1103–1104.

SIGIR-2012-YangCZY #collaboration #mining

Collaborative filtering with short term preferences mining (DY, TC, WZ, YY), pp. 1043–1044.

RE-2012-Yi0ZJM #constraints #feature model #mining #modelling

Mining binary constraints in the construction of feature models (LY, WZ, HZ, ZJ, HM), pp. 141–150.

SAC-2012-AccorsiS #consistency #mining #on the #process #security

On the exploitation of process mining for security audits: the conformance checking case (RA, TS), pp. 1709–1716.

SAC-2012-DiamantiniPS #mining #repository #workflow

Mining usage patterns from a repository of scientific workflows (CD, DP, ES), pp. 152–157.

SAC-2012-LangohrT #mining

A model for mining relevant and non-redundant information (LL, HT), pp. 132–137.

SAC-2012-LeungS #constraints #mining

A new class of constraints for constrained frequent pattern mining (CKSL, LS), pp. 199–204.

SAC-2012-WangTWWG #algorithm #behaviour #empirical #evaluation #mining #process

An empirical evaluation of process mining algorithms based on structural and behavioral similarities (JW, ST, LW, RKW, QG), pp. 211–213.

SAC-2012-WangZHHZWT #mining #mobile #recommendation

Context-aware role mining for mobile service recommendation (JW, CZ, CH, LH, LZ, RKW, JT), pp. 173–178.

FSE-2012-CanaveraEM #adaptation #execution #mining

Mining the execution history of a software system to infer the best time for its adaptation (KRC, NE, SM), p. 18.

FSE-2012-GabelS #specification #testing

Testing mined specifications (MG, ZS), p. 4.

ICSE-2012-Butler #identifier #java #mining

Mining Java class identifier naming conventions (SB), pp. 1641–1643.

ICSE-2012-HanDGZX #debugging #in the large #mining #performance #stack

Performance debugging in the large via mining millions of stack traces (SH, YD, SG, DZ, TX), pp. 145–155.

ICSE-2012-Hindle #mining #power management

Green mining: Investigating power consumption across versions (AH), pp. 1301–1304.

ICSE-2012-HuangLXW #mining #recommendation #repository #xml

Mining application repository to recommend XML configuration snippets (SH, YL, YX, WW), pp. 1451–1452.

ICSE-2012-Keivanloo #integration #mining #online #repository

Online sharing and integration of results from mining software repositories (IK), pp. 1644–1646.

ICSE-2012-NaganoNKAHUF #mining #repository #scalability #using

Using the GPGPU for scaling up Mining Software Repositories (RN, HN, YK, BA, KH, NU, AF), pp. 1435–1436.

ICSE-2012-PradelG #automation #debugging #detection #generative #mining #specification #testing

Leveraging test generation and specification mining for automated bug detection without false positives (MP, TRG), pp. 288–298.

ICSE-2012-PradelJAG #api #consistency #multi #protocol #specification

Statically checking API protocol conformance with mined multi-object specifications (MP, CJ, JA, TRG), pp. 925–935.

ICSE-2012-SharT #injection #mining #predict #sql

Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities (LKS, HBKT), pp. 1293–1296.

ICSE-2012-SunSPR #mining #static analysis

Extending static analysis by mining project-specific rules (BS, GS, AP, BR), pp. 1054–1063.

ICLP-2012-BlockeelBBCP #data mining #machine learning #mining #modelling #problem

Modeling Machine Learning and Data Mining Problems with FO(·) (HB, BB, MB, BdC, SDP, MD, AL, JR, SV), pp. 14–25.

ASE-2011-WuLWXM #mining #specification

Iterative mining of resource-releasing specifications (QW, GL, QW, TX, HM), pp. 233–242.

ASE-2011-ZhengMLXK #mining #testing #web

Mining test oracles of web search engines (WZ, HM, MRL, TX, IK), pp. 408–411.

CASE-2011-JamesBHACC #mining #mobile #using

Tele-operation of a mobile mining robot using a panoramic display: an exploration of operators sense of presence (CAJ, TPB, KH, LA, CC, AC), pp. 279–284.

DATE-2011-LiuSTV #design #generative #towards #using #validation

Towards coverage closure: Using GoldMine assertions for generating design validation stimulus (LL, DS, WT, SV), pp. 173–178.

DATE-2011-Wang #coordination #gpu #kernel #power management

Coordinate strip-mining and kernel fusion to lower power consumption on GPU (GW), pp. 1218–1219.

HT-2011-SahW #automation #fuzzy #metadata #mining #using

Automatic mining of cognitive metadata using fuzzy inference (MS, VW), pp. 37–46.

SIGMOD-2011-OrdonezP #algorithm #data mining #mining

One-pass data mining algorithms in a DBMS with UDFs (CO, SKP), pp. 1217–1220.

SIGMOD-2011-PoundPT #approach #mining #web

Facet discovery for structured web search: a query-log mining approach (JP, SP, PT), pp. 169–180.

SIGMOD-2011-ZhangZD #corpus #estimation #mining #performance

Mining a search engine’s corpus: efficient yet unbiased sampling and aggregate estimation (MZ, NZ, GD), pp. 793–804.

VLDB-2011-JinLLH #data mining #detection #named #network #social #social media

SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks (XJ, CXL, JL, JH), pp. 1458–1461.

VLDB-2011-YangPS #graph #mining #multi #performance

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining (XY, SP, PS), pp. 231–242.

VLDB-2011-ZhuQLYHY #mining #network #scalability

Mining Top-K Large Structural Patterns in a Massive Network (FZ, QQ, DL, XY, JH, PSY), pp. 807–818.

VLDB-2012-BarskyKWH11 #correlation #dataset #mining #scalability #taxonomy

Mining Flipping Correlations from Large Datasets with Taxonomies (MB, SK, TW, JH), pp. 370–381.

VLDB-2012-LiuZW11 #mining

Controlling False Positives in Association Rule Mining (GL, HZ, LW), pp. 145–156.

CSMR-2011-BelderrarKGAG #architecture #evolution #identification #mining #object-oriented

Sub-graph Mining: Identifying Micro-architectures in Evolving Object-Oriented Software (AB, SK, YGG, GA, PG), pp. 171–180.

CSMR-2011-LamkanfiDSV #algorithm #debugging #mining #predict

Comparing Mining Algorithms for Predicting the Severity of a Reported Bug (AL, SD, QDS, TV), pp. 249–258.

CSMR-2011-PoncinSB #mining #process #repository

Process Mining Software Repositories (WP, AS, MvdB), pp. 5–14.

ICPC-2011-Medini #automation #concept #execution #mining #scalability

Scalable Automatic Concept Mining from Execution Traces (SM), pp. 238–241.

ICSM-2011-ButlerWYS #java #mining

Mining java class naming conventions (SB, MW, YY, HS), pp. 93–102.

ICSM-2011-DAmbrosR #effectiveness #mining #repository

Effective mining of software repositories (MD, RR), p. 598.

ICSM-2011-PirzadehHS #analysis #execution #mining

Exploiting text mining techniques in the analysis of execution traces (HP, AHL, MS), pp. 223–232.

ICSM-2011-TarvoZC #algorithm #branch #integration #mining #multi #version control

An integration resolution algorithm for mining multiple branches in version control systems (AT, TZ, JC), pp. 402–411.

ICSM-2011-YousefiS #distributed #identification #mining

Identifying distributed features in SOA by mining dynamic call trees (AY, KS), pp. 73–82.

MSR-2011-Whitehead #data mining #game studies #mining #what

Fantasy, farms, and freemium: what game data mining teaches us about retention, conversion, and virality (keynote abstract) (JW), p. 1.

WCRE-2011-NadiH #linux #mining

Make it or Break it: Mining Anomalies from Linux Kbuild (SN, RCH), pp. 315–324.

PLDI-2011-DEliaDF #mining

Mining hot calling contexts in small space (DCD, CD, IF), pp. 516–527.

CHI-2011-LeeKF #behaviour #design #mining #persuasion

Mining behavioral economics to design persuasive technology for healthy choices (MKL, SBK, JF), pp. 325–334.

CSCW-2011-TangZCI #case study #collaboration

Your time zone or mine?: a study of globally time zone-shifted collaboration (JCT, CZ, XC, KI), pp. 235–244.

HCI-UA-2011-HsuC #approach #behaviour #navigation

Associating Learners’ Cognitive Style with Their Navigation Behaviors: A Data-Mining Approach (YCH, SYC), pp. 27–34.

HCI-UA-2011-LinHLYH #mining #using

Using Grounded Theory and Text Mining to Find Interesting Reading Materials for Slow EFL Learners (YCL, ClH, MHL, HFY, CFH), pp. 77–85.

HIMI-v2-2011-MozaffariM #classification #mining #visual notation

A Classification Scheme for Characterizing Visual Mining (EM, SPM), pp. 46–54.

OCSC-2011-GaoQZ #mining #social

Mining Social Relationships in Micro-blogging Systems (QG, QQ, XZ), pp. 110–119.

CAiSE-2011-BoseAZP #concept #mining #process

Handling Concept Drift in Process Mining (RPJCB, WMPvdA, IZ, MP), pp. 391–405.

ICEIS-J-2011-WangN11a #mining #named #nondeterminism

UF-Evolve: Uncertain Frequent Pattern Mining (SW, VTYN), pp. 98–116.

ICEIS-v1-2011-Cuzzocrea #approach #information management #mining

A UML-extended Approach for Mining OLAP Data Cubes in Complex Knowledge Discovery Environments (AC), pp. 281–289.

ICEIS-v1-2011-SantosP #data mining #mining #preprocessor #ubiquitous

Enabling Ubiquitous Data Mining in Intensive Care — Features Selection and Data Pre-processing (MS, FP), pp. 261–266.

ICEIS-v1-2011-ThitiprayoonwongseSS #data mining #mining

Data Mining on Dengue Virus Disease (DT, PS, NS), pp. 32–41.

ICEIS-v1-2011-WangN #mining #named #nondeterminism

UF-Evolve — Uncertain Frequent Pattern Mining (SW, VTYN), pp. 74–84.

ICEIS-v4-2011-Naderipour #ad hoc #industrial #mining #process #using

Mining of Ad-hoc Business Processes using Microsoft Sharepoint, Nitro & Prom 6.0 — An Industrial Practice (FN), pp. 413–418.

CIKM-2011-DongZCZZLWO #database #mining #named #performance

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning (XD, ZZ, LC, YZ, CZ, JL, WW, YO), pp. 825–830.

CIKM-2011-GuoZTG #data type #mining #multi

Mining frequent patterns across multiple data streams (JG, PZ, JT, LG), pp. 2325–2328.

CIKM-2011-KimJHSZ #approach #corpus #graph #mining

Mining entity translations from comparable corpora: a holistic graph mapping approach (JK, LJ, SwH, YIS, MZ), pp. 1295–1304.

CIKM-2011-KiselevaAB #case study #mining #query

Mining query structure from click data: a case study of product queries (JK, EA, DB), pp. 2217–2220.

CIKM-2011-KrishnaswamyGG #data type #mining #mobile #roadmap #ubiquitous

Advances in data stream mining for mobile and ubiquitous environments (SK, JG, MMG), pp. 2607–2608.

CIKM-2011-LoSZL #community #mining #network #trust

Mining direct antagonistic communities in explicit trust networks (DL, DS, KZ, EPL), pp. 1013–1018.

CIKM-2011-OrdonezG #data mining #database #mining #query #relational #sql

A data mining system based on SQL queries and UDFs for relational databases (CO, CGA), pp. 2521–2524.

CIKM-2011-XuJL #image #mining #online #ranking

Retrieving and ranking unannotated images through collaboratively mining online search results (SX, HJ, FCML), pp. 485–494.

CIKM-2011-YeungJ #how #mining #scalability #towards

Studying how the past is remembered: towards computational history through large scale text mining (CmAY, AJ), pp. 1231–1240.

CIKM-2011-ZhangJJ #framework #mining

Promotional subspace mining with EProbe framework (YZ, YJ, WJ), pp. 2185–2188.

ECIR-2011-Carrillo-de-AlbornozPGD #analysis #bibliography #mining #rating #sentiment

A Joint Model of Feature Mining and Sentiment Analysis for Product Review Rating (JCdA, LP, PG, AD), pp. 55–66.

KDD-2011-BatistaKMR #data mining #mining

SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining (GEAPAB, EJK, AMN, ER), pp. 761–764.

KDD-2011-Bie #data mining #framework #mining

An information theoretic framework for data mining (TDB), pp. 564–572.

KDD-2011-BifetHPG #data type #evolution #graph #mining

Mining frequent closed graphs on evolving data streams (AB, GH, BP, RG), pp. 591–599.

KDD-2011-Boire #case study #data mining #lessons learnt #mining

The practitioner’s viewpoint to data mining: key lessons learned in the trenches and case studies (RB), p. 785.

KDD-2011-GhotingKPK #algorithm #data mining #implementation #machine learning #mining #named #parallel #pipes and filters #tool support

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce (AG, PK, EPDP, RK), pp. 334–342.

KDD-2011-GoethalsMV #framework #interactive #mining #named #visual notation

MIME: a framework for interactive visual pattern mining (BG, SM, JV), pp. 757–760.

KDD-2011-HendersonGLAETF #graph #mining #recursion #using

It’s who you know: graph mining using recursive structural features (KH, BG, LL, LA, TER, HT, CF), pp. 663–671.

KDD-2011-Inchiosa #data mining #mining #scalability #using

Accelerating large-scale data mining using in-database analytics (MEI), p. 778.

KDD-2011-JinWLYH #mining #named #network #power of #social #social media

LikeMiner: a system for mining the power of “like” in social media networks (XJ, CW, JL, XY, JH), pp. 753–756.

KDD-2011-KaufmanRP #data mining #detection #mining

Leakage in data mining: formulation, detection, and avoidance (SK, SR, CP), pp. 556–563.

KDD-2011-LathiaC #mining

Mining mobility data to minimise travellers’ spending on public transport (NL, LC), pp. 1181–1189.

KDD-2011-McCloskeyKIKB #behaviour #data mining #mining #using

From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior (DPM, MEK, SPI, IK, SBM), pp. 301–306.

KDD-2011-MohammedCFY #data mining #mining

Differentially private data release for data mining (NM, RC, BCMF, PSY), pp. 493–501.

KDD-2011-MukerjeePG #algorithm #framework #linear #mining #semantics #sql

Linear scale semantic mining algorithms in microsoft SQL server’s semantic platform (KM, TP, SG), pp. 213–221.

KDD-2011-PatnaikBRPKH #case study #challenge #experience #mining #sequence

Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges (DP, PB, NR, LP, BJK, DAH), pp. 360–368.

KDD-2011-QiYZZ #image #mining

Mining partially annotated images (ZQ, MY, Z(Z, ZZ), pp. 1199–1207.

KDD-2011-RamageMD #mining #modelling #topic

Partially labeled topic models for interpretable text mining (DR, CDM, STD), pp. 457–465.

KDD-2011-Rejto #data mining #information management #mining #research

Knowledge discovery and data mining in pharmaceutical cancer research (PAR), p. 781.

KDD-2011-TattiC #mining

Mining closed episodes with simultaneous events (NT, BC), pp. 1172–1180.

KDD-2011-TrasartiPNG #mining

Mining mobility user profiles for car pooling (RT, FP, MN, FG), pp. 1190–1198.

KDD-2011-VijayaraghavanK #data mining #machine learning #mining #online

Applications of data mining and machine learning in online customer care (RV, PVK), p. 779.

KDD-2011-ZhengSTLLC #challenge #data mining #information management #mining #mobile

Applying data mining techniques to address disaster information management challenges on mobile devices (LZ, CS, LT, TL, SL, SCC), pp. 283–291.

KDIR-2011-AlouaouiTF #mining #query

Querying and Mining Spatiotemporal Association Rules (HA, SYT, SF), pp. 402–405.

KDIR-2011-BonninBB #mining #predict #web

Handling Tabbing and Backward References for Predictive Web Usage Mining (GB, AB, AB), pp. 503–509.

KDIR-2011-BressoBSMKSND #mining #reduction

Use of Domain Knowledge for Dimension Reduction — Application to Mining of Drug Side Effects (EB, SB, MST, GM, ASK, MS, AN, MDD), pp. 271–276.

KDIR-2011-DAcuntoBDLPPS #3d #mining #re-engineering

Inferential Mining for Reconstruction of 3D Cell Structures in Atomic Force Microscopy Imaging (MD, SB, SD, ML, MP, AP, OS), pp. 348–353.

KDIR-2011-HsiehY #case study #mining

A Study of Profit Mining (YLH, DLY), pp. 510–514.

KDIR-2011-MukerjeePG #database #documentation #mining #relational #semantics

Semantic Mining of Documents in a Relational Database (KM, TP, SG), pp. 146–158.

KDIR-2011-OmerBG #algorithm #mining #motivation #using

A New Frequent Similar Tree Algorithm Motivated by Dom Mining — Using RTDM and its New Variant — SiSTeR (OB, RB, SG), pp. 238–243.

KDIR-2011-Vanetik #algorithm #graph #mining #performance

A Fast Algorithm for Mining Graphs of Prescribed Connectivity (NV), pp. 5–13.

KDIR-2011-VanetikG #mining #named

HashMax: A New Method for Mining Maximal Frequent Itemsets (NV, EG), pp. 140–145.

MLDM-2011-ChenER #mining #parametricity #using

Mining Spatial Trajectories Using Non-parametric Density Functions (CSC, CFE, NJR), pp. 496–510.

MLDM-2011-Kessl #mining #parallel #using

Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling (RK), pp. 553–567.

MLDM-2011-SimeonH #approach #correlation #difference #mining #named #set

GENCCS: A Correlated Group Difference Approach to Contrast Set Mining (MS, RJH), pp. 140–154.

MLDM-2011-TalbertHT #data mining #framework #machine learning #mining

A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage (DAT, MH, ST), pp. 348–361.

SEKE-2011-CellierDFR #data mining #fault #locality #mining #multi

Multiple Fault Localization with Data Mining (PC, MD, SF, OR), pp. 238–243.

SEKE-2011-LemosSLO #consistency #development #mining #process

Conformance Checking of Software Development Processes Through Process Mining (AML, CCS, RMFL, CALO), pp. 654–659.

SEKE-2011-WuXKP #analysis #data mining #debugging #mining #named #reliability

BUGMINER: Software Reliability Analysis Via Data Mining of Bug Reports (LW, BX, GEK, RJP), pp. 95–100.

SIGIR-2011-JiangPL #mining #web

Enhancing web search by mining search and browse logs (DJ, JP, HL), pp. 1295–1296.

SIGIR-2011-KimKWHK #approach #classification #mining

Authorship classification: a discriminative syntactic tree mining approach (SK, HK, TW, JH, HDK), pp. 455–464.

SIGIR-2011-LappasPS #mining #network #social #using

Mining tags using social endorsement networks (TL, KP, TS), pp. 195–204.

SIGIR-2011-WangHH #image #mining #search-based #web

Mining weakly labeled web facial images for search-based face annotation (DW, SCHH, YH), pp. 535–544.

SIGIR-2011-ZhengGYXBSHY #community #mining #topic

Mining topics on participations for community discovery (GZ, JG, LY, SX, SB, ZS, DH, YY), pp. 445–454.

ECOOP-2011-MilevaWZ #evolution #mining

Mining Evolution of Object Usage (YMM, AW, AZ), pp. 105–129.

REFSQ-2011-GervasiZ #mining #requirements

Mining Requirements Links (VG, DZ), pp. 196–201.

SAC-2011-AhluwaliaGCY #mining #privacy

Target-based privacy preserving association rule mining (MA, AG, ZC, YY), pp. 962–967.

SAC-2011-BanZATK #mining

Mining interlacing manifolds in high dimensional spaces (TB, CZ, SA, TT, YK), pp. 942–949.

SAC-2011-CuzzocreaS #clustering #database #framework #mining #named

ClustCube: an OLAP-based framework for clustering and mining complex database objects (AC, PS), pp. 976–982.

SAC-2011-Fournier-VigerNT #mining #named #sequence

RuleGrowth: mining sequential rules common to several sequences by pattern-growth (PFV, RN, VSMT), pp. 956–961.

SAC-2011-KadriE #mining #nondeterminism #sequence #web

Mining uncertain web log sequences with access history probabilities (OK, CIE), pp. 1059–1060.

SAC-2011-LeungJ #data type #mining #nondeterminism #using

Frequent itemset mining of uncertain data streams using the damped window model (CKSL, FJ), pp. 950–955.

SAC-2011-LeungS #equivalence #mining #nondeterminism

Equivalence class transformation based mining of frequent itemsets from uncertain data (CKSL, LS), pp. 983–984.

SAC-2011-Perez-CastilloGPWP #comparison #empirical #mining #process

An empirical comparison of static and dynamic business process mining (RPC, IGRdG, MP, BW, ÁSP), pp. 272–279.

ESEC-FSE-2011-Bettenburg #collaboration #development #mining #repository

Mining development repositories to study the impact of collaboration on software systems (NB), pp. 376–379.

ESEC-FSE-2011-Schur #enterprise #mining #specification

Experimental specification mining for enterprise applications (MS), pp. 388–391.

ICSE-2011-AthanasopoulosZVI #abstraction #mining

Mining service abstractions (DA, AZ, PV, VI), pp. 944–947.

ICSE-2011-DumitruGHCMCM #mining #on-demand #recommendation

On-demand feature recommendations derived from mining public product descriptions (HD, MG, NH, JCH, BM, CCH, MM), pp. 181–190.

ICSE-2011-Kumar #concurrent #distributed #mining #specification

Specification mining in concurrent and distributed systems (SK), pp. 1086–1089.

ICSE-2011-Kumar11a #concurrent #distributed #mining #specification

Specification mining in concurrent and distributed systems (SK), pp. 1161–1163.

ICSE-2011-KumarKRL #graph #mining #sequence

Mining message sequence graphs (SK, SCK, AR, DL), pp. 91–100.

ICSE-2011-LeeCR #mining #parametricity #specification

Mining parametric specifications (CL, FC, GR), pp. 591–600.

ICSE-2011-PortNHH #case study #development #experience #mining #scalability

Experiences with text mining large collections of unstructured systems development artifacts at jpl (DP, APN, JH, LH), pp. 701–710.

ICSE-2011-TanZP #concurrent #debugging #detection #mining #named

aComment: mining annotations from comments and code to detect interrupt related concurrency bugs (LT, YZ, YP), pp. 11–20.

ICSE-2011-Thomas #mining #modelling #repository #topic #using

Mining software repositories using topic models (SWT), pp. 1138–1139.

HPDC-2011-BalkirFR #architecture #distributed #mining #pipes and filters #using

A distributed look-up architecture for text mining applications using mapreduce (ASB, ITF, AR), pp. 279–280.

ECSA-2010-KamalA #design pattern #mining

Mining Relationships between the Participants of Architectural Patterns (AWK, PA), pp. 401–408.

ASE-2010-GibiecCC #mining #query #towards

Towards mining replacement queries for hard-to-retrieve traces (MG, AC, JCH), pp. 245–254.

ASE-2010-HuangPWXM #assurance #mining

Text mining in supporting software systems risk assurance (LH, DP, LW, TX, TM), pp. 163–166.

ASE-2010-LoM #mining #specification

Scenario-based and value-based specification mining: better together (DL, SM), pp. 387–396.

ASE-2010-ShangAH #case study #experience #mining #pipes and filters #repository #scalability #tool support #using

An experience report on scaling tools for mining software repositories using MapReduce (WS, BA, AEH), pp. 275–284.

ASE-2010-SindhgattaNSVR #developer #mining

Timesheet assistant: mining and reporting developer effort (RS, NCN, BS, KV, AGR), pp. 265–274.

DAC-2010-LiFS #mining #scalability #specification #verification

Scalable specification mining for verification and diagnosis (WL, AF, SAS), pp. 755–760.

DATE-2010-VasudevanSPTTJ #automation #data mining #generative #mining #named #static analysis #using

GoldMine: Automatic assertion generation using data mining and static analysis (SV, DS, SJP, DT, WT, DRJ), pp. 626–629.

SIGMOD-2010-HanSYY #analysis #approach #database #mining #network

Mining knowledge from databases: an information network analysis approach (JH, YS, XY, PSY), pp. 1251–1252.

SIGMOD-2010-KhanYW #graph #mining #proximity #scalability #towards

Towards proximity pattern mining in large graphs (AK, XY, KLW), pp. 867–878.

SIGMOD-2010-LiJLTYHK #database #mining #named

MoveMine: mining moving object databases (ZL, MJ, JGL, LAT, YY, JH, RK), pp. 1203–1206.

SIGMOD-2010-OrdonezG #data mining #database #mining #research

Database systems research on data mining (CO, JGG), pp. 1253–1254.

SIGMOD-2010-ParameswaranKBG #algorithm #mining #named #precedence #recommendation

Recsplorer: recommendation algorithms based on precedence mining (AGP, GK, BB, HGM), pp. 87–98.

VLDB-2010-AggarwalLYJ #graph #mining #on the

On Dense Pattern Mining in Graph Streams (CCA, YL, PSY, RJ), pp. 975–984.

VLDB-2010-BedathurBDMW #ad hoc #mining

Interesting-Phrase Mining for Ad-Hoc Text Analytics (SJB, KB, JD, NM, GW), pp. 1348–1357.

VLDB-2010-CaoCJ10a #mining #semantics

Mining Significant Semantic Locations From GPS Data (XC, GC, CSJ), pp. 1009–1020.

VLDB-2010-LiDHK #clustering #mining #named

Swarm: Mining Relaxed Temporal Moving Object Clusters (ZL, BD, JH, RK), pp. 723–734.

VLDB-2010-Muthukrishnan #data transformation #internet #mining

Data Management and Mining in Internet Ad Systems (SM), pp. 1655–1656.

VLDB-2010-RenzCK #database #mining #nondeterminism #similarity

Similarity Search and Mining in Uncertain Databases (MR, RC, HPK, AZ, TB), pp. 1653–1654.

ICPC-2010-RevelleDP #data fusion #feature model #mining #using #web

Using Data Fusion and Web Mining to Support Feature Location in Software (MR, BD, DP), pp. 14–23.

MSR-2010-BruchMM #framework #mining #reuse #subclass

Mining subclassing directives to improve framework reuse (MB, MM, MM), pp. 141–150.

MSR-2010-GegickRX #case study #debugging #identification #industrial #mining #security

Identifying security bug reports via text mining: An industrial case study (MG, PR, TX), pp. 11–20.

MSR-2010-Herbsleb #mining #named #question

MSR: Mining for scientific results? (JDH).

MSR-2010-HindleHSJ #challenge #gnome #mining

Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu (AH, IH, ES, ZMJ), pp. 82–85.

MSR-2010-MauczkaSFBG #mining #security

Mining security changes in FreeBSD (AM, CS, FF, MB, TG), pp. 90–93.

MSR-2010-NagappanV #mining

Abstracting log lines to log event types for mining software system logs (MN, MAV), pp. 114–117.

MSR-2010-NussbaumZ #assurance #data mining #database #metadata #mining #quality

The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining (LN, SZ), pp. 52–61.

MSR-2010-PosnettBD #java #mining #named

THEX: Mining metapatterns from java (DP, CB, PTD), pp. 122–125.

MSR-2010-Robles #case study #mining #repository

Replicating MSR: A study of the potential replicability of papers published in the Mining Software Repositories proceedings (GR), pp. 171–180.

MSR-2010-VetroTM #java #mining #precise

Assessing the precision of FindBugs by mining Java projects developed at a university (AV, MT, MM), pp. 110–113.

SCAM-2010-Zeller #in the large #learning #mining #modelling

Learning from 6,000 Projects: Mining Models in the Large (AZ), pp. 3–6.

WCRE-2010-LozanoKMA #mining #source code

Mining Source Code for Structural Regularities (AL, AK, KM, GA), pp. 22–31.

WCRE-2010-SurianLL #collaboration #developer #mining #network #scalability

Mining Collaboration Patterns from a Large Developer Network (DS, DL, EPL), pp. 269–273.

CSCW-2010-GuyJPRU #mining #people #similarity #social #social media

Same places, same things, same people?: mining user similarity on social media (IG, MJ, AP, IR, EU), pp. 41–50.

CAiSE-2010-AalstPS #mining #process

Beyond Process Mining: From the Past to Present and Future (WMPvdA, MP, MS), pp. 38–52.

EDOC-2010-KalsingNIT #approach #incremental #legacy #mining #process

An Incremental Process Mining Approach to Extract Knowledge from Legacy Systems (AK, GSdN, CI, LHT), pp. 79–88.

ICEIS-AIDSS-2010-BenayadiG #framework #mining #sequence

Mining Timed Sequences with TOM4L Framework (NB, MLG), pp. 111–120.

ICEIS-AIDSS-2010-CarvalhoSP #data mining #mining

Swarm Intelligence for Rule Discovery in Data Mining (ABdC, TS, AP), pp. 314–319.

ICEIS-AIDSS-2010-CuzzocreaFP #abstraction #analysis #collaboration #effectiveness #flexibility #mining #process

Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques (AC, FF, LP), pp. 157–166.

ICEIS-AIDSS-2010-Vilas-BoasSPSR #data mining #mining #predict

Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques (MVB, MFS, FP, ÁMS, FR), pp. 270–277.

ICEIS-DISI-2010-KalsingTI #algorithm #incremental #mining #process

An Incremental Process Mining Algorithm (AK, LHT, CI), pp. 263–268.

ICEIS-DISI-2010-ZhangOCK #case study #data mining #education #mining #student

Use Data Mining to Improve Student Retention in Higher Education — A Case Study (YZ, SO, TC, HK), pp. 190–197.

ICEIS-ISAS-2010-EliceguiVM #data mining #mining #semantics

Combining Semantic Technologies and Data Mining to Endow BSS/OSS Systems with Intelligence — Particularization to an International Telecom Company Tariff System (JME, GTdV, MdFM), pp. 350–355.

ICEIS-ISAS-2010-KikuchiMAM #mining #process

Process Mining for Job Nets in Integrated Complex Computer Systems (SK, YM, MA, SM), pp. 5–12.

ICEIS-J-2010-KikuchiMAM10a #enterprise #mining #process

Process Mining for Job Nets in Integrated Enterprise Systems (SK, YM, MA, SM), pp. 299–310.

ICEIS-J-2010-WatanabeRTT10a #classification #image #named #statistics

SACMiner: A New Classification Method Based on Statistical Association Rules to Mine Medical Images (CYVW, MXR, CTJ, AJMT), pp. 249–263.

CIKM-2010-BingSJZL #documentation #learning #mining #ontology #representation

Learning ontology resolution for document representation and its applications in text mining (LB, BS, SJ, YZ, WL), pp. 1713–1716.

CIKM-2010-CaoBYCT #approach #effectiveness #mining #mobile

An effective approach for mining mobile user habits (HC, TB, QY, EC, JT), pp. 1677–1680.

CIKM-2010-ChenJPL #algorithm #database #mining #performance #scalability

An efficient algorithm for mining time interval-based patterns in large database (YCC, JCJ, WCP, SYL), pp. 49–58.

CIKM-2010-FlorezD #mining #process

Mining rules to explain activities in videos (OUF, CED), pp. 1577–1580.

CIKM-2010-GaoYW #mining #multi #named #query

SEQUEL: query completion via pattern mining on multi-column structural data (CG, QY, JW), pp. 1955–1956.

CIKM-2010-GodboleBGV #mining #repository #taxonomy

Building re-usable dictionary repositories for real-world text mining (SG, IB, AG, AV), pp. 1189–1198.

CIKM-2010-GuoZGZS #analysis #mining #named

OpinionIt: a text mining system for cross-lingual opinion analysis (HG, HZ, ZG, XZ, ZS), pp. 1199–1208.

CIKM-2010-LeungLLW #mining #network #social

Mining interesting link formation rules in social networks (CWkL, EPL, DL, JW), pp. 209–218.

CIKM-2010-LiuTHJY #mining #network #topic

Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.

CIKM-2010-SeseSF #mining #network

Mining networks with shared items (JS, MS, MF), pp. 1681–1684.

CIKM-2010-WangCLC #approach #mining #modelling #probability

Accelerating probabilistic frequent itemset mining: a model-based approach (LW, RC, SDL, DWLC), pp. 429–438.

CIKM-2010-WangJL #collaboration #mining #process

Collaboration analytics: mining work patterns from collaboration activities (QW, HJ, YL), pp. 1861–1864.

CIKM-2010-ZhangSZBA #documentation #mining #named #parallel #probability #topic

PTM: probabilistic topic mapping model for mining parallel document collections (DZ, JS, CZ, AB, NA), pp. 1653–1656.

CIKM-2010-ZhouLBXL #information management #mining #reasoning #set

Rough sets based reasoning and pattern mining for a two-stage information filtering system (XZ, YL, PB, YX, RYKL), pp. 1429–1432.

CIKM-2010-ZhuangLSHXSX #classification #collaboration #mining #multi

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification (FZ, PL, ZS, QH, YX, ZS, HX), pp. 359–368.

ECIR-2010-DaiD #mining #retrieval #roadmap

Mining Anchor Text Trends for Retrieval (ND, BDD), pp. 127–139.

ECIR-2010-DaiDW #mining #topic

Mining Neighbors’ Topicality to Better Control Authority Flow (ND, BDD, YW), pp. 653–657.

ECIR-2010-Shi #information retrieval #mining #web

Mining OOV Translations from Mixed-Language Web Pages for Cross Language Information Retrieval (LS), pp. 471–482.

ICML-2010-DasguptaN #clustering #mining

Mining Clustering Dimensions (SD, VN), pp. 263–270.

ICML-2010-XuHFPJ #detection #mining #problem #scalability

Detecting Large-Scale System Problems by Mining Console Logs (WX, LH, AF, DAP, MIJ), pp. 37–46.

ICPR-2010-Artigas-FuentesGB #approximate #mining #similarity

A High-Dimensional Access Method for Approximated Similarity Search in Text Mining (FJAF, RGG, JMBC), pp. 3155–3158.

ICPR-2010-Williams #classification

Underwater Mine Classification with Imperfect Labels (DPW), pp. 4157–4161.

ICPR-2010-XiaLH #mining #modelling #using

Mining Exemplars for Object Modelling Using Affinity Propagation (SX, JL, ERH), pp. 918–921.

KDD-2010-Feldman #data mining #lessons learnt #mining #quantifier #scalability

The quantification of advertising: (+ lessons from building businesses based on large scale data mining) (KF), pp. 5–6.

KDD-2010-FriedmanS #data mining #difference #mining #privacy

Data mining with differential privacy (AF, AS), pp. 493–502.

KDD-2010-GaoW #mining #nondeterminism

Direct mining of discriminative patterns for classifying uncertain data (CG, JW), pp. 861–870.

KDD-2010-HendersonEFALMPT #approach #forensics #graph #metric #mining #multi

Metric forensics: a multi-level approach for mining volatile graphs (KH, TER, CF, LA, LL, KM, BAP, HT), pp. 163–172.

KDD-2010-KarguptaGF #data mining #generative #mining

The next generation of transportation systems, greenhouse emissions, and data mining (HK, JG, WF), pp. 1209–1212.

KDD-2010-KarguptaSG #bibliography #data mining #distributed #mining #performance

MineFleet®: an overview of a widely adopted distributed vehicle performance data mining system (HK, KS, MG), pp. 37–46.

KDD-2010-KumarGM #data mining #fault #health #mining #predict

Data mining to predict and prevent errors in health insurance claims processing (MK, RG, ZSM), pp. 65–74.

KDD-2010-LamC #data type #flexibility #mining

Mining top-k frequent items in a data stream with flexible sliding windows (HTL, TC), pp. 283–292.

KDD-2010-LiAZ #mining

Mining positive and negative patterns for relevance feature discovery (YL, AA, NZ), pp. 753–762.

KDD-2010-LiDHKN #behaviour #mining

Mining periodic behaviors for moving objects (ZL, BD, JH, RK, PN), pp. 1099–1108.

KDD-2010-LouFYLW #mining #workflow

Mining program workflow from interleaved traces (JGL, QF, SY, JL, BW), pp. 613–622.

KDD-2010-Lu #data mining #industrial #mining #online

Data mining in the online services industry (QL), pp. 1–2.

KDD-2010-MaxwellBR #graph #memory management #mining #using

Diagnosing memory leaks using graph mining on heap dumps (EKM, GB, NR), pp. 115–124.

KDD-2010-Ruggieri #mining

Frequent regular itemset mining (SR), pp. 263–272.

KDD-2010-SunCCC #mining #nondeterminism #probability

Mining uncertain data with probabilistic guarantees (LS, RC, DWC, JC), pp. 273–282.

KDD-2010-TaiYC #mining #outsourcing #pseudo #taxonomy

k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining (CHT, PSY, MSC), pp. 473–482.

KDD-2010-TsengWSY #algorithm #mining #named #performance

UP-Growth: an efficient algorithm for high utility itemset mining (VST, CWW, BES, PSY), pp. 253–262.

KDD-2010-WangCSX #algorithm #mining #mobile #network #social

Community-based greedy algorithm for mining top-K influential nodes in mobile social networks (YW, GC, GS, KX), pp. 1039–1048.

KDD-2010-WangHJTZYG #mining #network #research

Mining advisor-advisee relationships from research publication networks (CW, JH, YJ, JT, DZ, YY, JG), pp. 203–212.

KDD-2010-YangNSS #data mining #mining #privacy

Collusion-resistant privacy-preserving data mining (BY, HN, IS, JS), pp. 483–492.

KDD-2010-ZhengSTLLCH #data mining #mining #network #using

Using data mining techniques to address critical information exchange needs in disaster affected public-private networks (LZ, CS, LT, TL, SL, SCC, VH), pp. 125–134.

KDIR-2010-AchaKV #analysis #data mining #mining #modelling

Tactical Analysis Modeling through Data Mining — Pattern Discovery in Racket Sports (ATA, WAK, JKV), pp. 176–181.

KDIR-2010-CarulloB #analysis #machine learning #mining #web

Machine Learning and Link Analysis for Web Content Mining (MC, EB), pp. 156–161.

KDIR-2010-CorreiaCL #architecture #collaboration #data mining #mining

An Architecture for Collaborative Data Mining (FC, RC, JCL), pp. 467–470.

KDIR-2010-Ghosh #locality #mining #modelling #multi #predict #scalability #using

Actionable Mining of Large, Multi-relational Data using Localized Predictive Models (JG), pp. 9–10.

KDIR-2010-Rauch #data mining #logic #mining #semantics #web

Logic of Discovery, Data Mining and Semantic Web — Position Paper (JR), pp. 342–351.

KDIR-2010-Seifert #knowledge-based #mining #music

Knowledge-based Mining of Patterns and Structure of Symbolic Music Files (FS0), pp. 358–363.

KDIR-2010-Vazquez-RodriguezPGFC #data mining #mining #visual notation

A New Visual Data Mining Tool for gvSIG GIS (RVR, CPR, IYGH, AFM, JCTC), pp. 428–431.

SEKE-2010-SilvaS #classification #data mining #knowledge base #mining #modelling #relational #testing

Modeling and Testing a Knowledge Base for Instructing Users to Choose the Classification Task in Relational Data Mining (LMdS, AEAdS), pp. 608–613.

SIGIR-2010-FengWZM #image #mining #scalability #video

Mining adjacent markets from a large-scale ads video collection for image advertising (GF, XJW, LZ, WYM), pp. 893–894.

SIGIR-2010-JiangPL #challenge #information retrieval #mining #web

Search and browse log mining for web information retrieval: challenges, methods, and applications (DJ, JP, HL), p. 912.

SIGIR-2010-LeeJSL #identification #mining

Mining the blogosphere for top news stories identification (YL, HYJ, WS, JHL), pp. 395–402.

SAC-2010-BaralisCC #dataset #mining #persistent #scalability

A persistent HY-Tree to efficiently support itemset mining on large datasets (EB, TC, SC), pp. 1060–1064.

SAC-2010-BlundoC #algorithm #mining

A simple role mining algorithm (CB, SC), pp. 1958–1962.

SAC-2010-CeciALM #approach #data mining #mining #ranking #relational

Complex objects ranking: a relational data mining approach (MC, AA, CL, DM), pp. 1071–1077.

SAC-2010-ChengSMZ #data mining #database #integration #mining #named #online

PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters (DC, JS, MMP, ORZ), pp. 1547–1551.

SAC-2010-CostaFGMO #learning #mining #modelling

Mining models of exceptional objects through rule learning (GC, FF, MG, GM, RO), pp. 1078–1082.

SAC-2010-FlouvatSGRG #mining

Constrained colocation mining: application to soil erosion characterization (FF, NSF, DG, IR, CG), pp. 1054–1059.

SAC-2010-GoethalsPM #database #mining #relational #set

Mining interesting sets and rules in relational databases (BG, WLP, MM), pp. 997–1001.

SAC-2010-Kaneiwa #approach #information management #mining #set

A rough set approach to mining connections from information systems (KK), pp. 990–996.

SAC-2010-KatevaLRSTR #architecture #data mining #mining

SE-155 DBSA: a device-based software architecture for data mining (JK, PL, TR, JS, LT, JR), pp. 2273–2280.

SAC-2010-LeungHB #constraints #mining #nondeterminism

Mining uncertain data for frequent itemsets that satisfy aggregate constraints (CKSL, BH, DAB), pp. 1034–1038.

SAC-2010-LiuJWZQ #mining

Mining preorder relation between knowledge units from text (JL, LJ, ZW, QZ, YnQ), pp. 1047–1053.

SAC-2010-LuccheseOP #dataset #generative #mining

A generative pattern model for mining binary datasets (CL, SO, RP), pp. 1109–1110.

SAC-2010-MarinhoCDFBBL #data mining #education #framework #mining #ontology

An ontology-based software framework to provide educational data mining (TM, EdBC, DD, RF, LMB, IIB, HPLL), pp. 1433–1437.

SAC-2010-MengleG #category theory #mining

Mining temporal relationships among categories (SSRM, NG), pp. 1107–1108.

SAC-2010-NingYPM #mining #named #visualisation

OncoViz: a user-centric mining and visualization tool for cancer-related literature (ZN, JSY, MJP, AMM), pp. 1827–1828.

SAC-2010-RomaniAZCTT #algorithm #mining #named

CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data (LASR, AMHdÁ, JZJ, RC, CTJ, AJMT), pp. 900–905.

SAC-2010-SamiYPHH #api #detection #mining

Malware detection based on mining API calls (AS, BY, HR, NP, SH, AH), pp. 1020–1025.

SAC-2010-ShieTY #data type #mining #online

Online mining of temporal maximal utility itemsets from data streams (BES, VST, PSY), pp. 1622–1626.

FSE-2010-BirdBRB #named #performance

LINKSTER: enabling efficient manual inspection and annotation of mined data (CB, AB, FR, AB), pp. 369–370.

ICSE-2010-HassanX #mining #re-engineering

Mining software engineering data (AEH, TX), pp. 503–504.

ICSE-2010-ZhongTXZW #api #migration #mining

Mining API mapping for language migration (HZ, ST, TX, LZ, QW), pp. 195–204.

SPLC-2010-YoshimuraAF #constraints #feature model #identification #mining

A Method to Identify Feature Constraints Based on Feature Selections Mining (KY, YA, TF), pp. 425–429.

CC-2010-JockschMSGA #compilation #mining

Mining Opportunities for Code Improvement in a Just-In-Time Compiler (AJ, MM, JS, NG, JNA), pp. 10–25.

HPDC-2010-HoblitzellMYFXB #biology #mining

Text mining for bone biology (AH, SM, QY, SF, YX, JB), pp. 522–530.

ISSTA-2010-DallmeierKMHZ #generative #mining #specification #testing

Generating test cases for specification mining (VD, NK, CM, SH, AZ), pp. 85–96.

TAP-2010-ThummalapentaHTW #automation #generative #mining #named #testing

DyGen: Automatic Generation of High-Coverage Tests via Mining Gigabytes of Dynamic Traces (ST, JdH, NT, SW), pp. 77–93.

ASE-2009-AcharyaK #health #mining #modelling #monitoring #performance

Mining Health Models for Performance Monitoring of Services (MA, VK), pp. 409–420.

ASE-2009-LoM #mining #specification

Mining Hierarchical Scenario-Based Specifications (DL, SM), pp. 359–370.

ASE-2009-ThummalapentaX #detection #mining #named

Alattin: Mining Alternative Patterns for Detecting Neglected Conditions (ST, TX), pp. 283–294.

ASE-2009-WasylkowskiZ #mining #specification

Mining Temporal Specifications from Object Usage (AW, AZ), pp. 295–306.

ICDAR-2009-KizuYTGS #2d #data mining #mining

2D CAD Data Mining Based on Spatial Relation (HK, JY, TT, KG, NS), pp. 326–330.

SIGMOD-2009-WangYGYTWLP #case study #communication #data mining #mining #mobile #named

MobileMiner: a real world case study of data mining in mobile communication (TW, BY, JG, DY, ST, HW, KL, JP), pp. 1083–1086.

VLDB-2009-ChaudhuriGX #approximate #documentation #mining

Mining Document Collections to Facilitate Accurate Approximate Entity Matching (SC, VG, DX), pp. 395–406.

VLDB-2009-ChenBN #evolution #maintenance #mining #named #performance #web

NEAR-Miner: Mining Evolution Associations of Web Site Directories for Efficient Maintenance of Web Archives (LC, SSB, WN), pp. 1150–1161.

VLDB-2009-ChenLFCYH #graph #mining #random #summary

Mining Graph Patterns Efficiently via Randomized Summaries (CC, CXL, MF, MC, XY, JH), pp. 742–753.

VLDB-2009-LeglerLSK #distributed #mining #robust #using

Robust Distributed Top-N Frequent Pattern Mining Using the SAP BW Accelerator (TL, WL, JS, JK), pp. 1438–1449.

VLDB-2009-TatikondaP #manycore #mining

Mining Tree-Structured Data on Multicore Systems (ST, SP), pp. 694–705.

VLDB-2009-WongCHKM #mining #outsourcing

An Audit Environment for Outsourcing of Frequent Itemset Mining (WKW, DWLC, EH, BK, NM), pp. 1162–1172.

VLDB-2009-YangRW #execution #mining #multi #streaming

A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data (DY, EAR, MOW), pp. 874–885.

FASE-2009-AcharyaX #api #mining #source code #specification

Mining API Error-Handling Specifications from Source Code (MA, TX), pp. 370–384.

TACAS-2009-GouesW #mining #specification

Specification Mining with Few False Positives (CLG, WW), pp. 292–306.

ICSM-2009-HuangSWSW #industrial #legacy #mining #preprocessor

Preprocessing the noise in legacy user permission assignment data for role mining — An industrial practice (CH, JS, XW, YS, DW), pp. 403–406.

ICSM-2009-Zimmermann #debugging #development #mining #predict #process

Changes and bugs — Mining and predicting development activities (TZ), pp. 443–446.

MSR-2009-AnbalaganV #mining #on the #repository

On mining data across software repositories (PA, MAV), pp. 171–174.

MSR-2009-BajracharyaL #code search #mining #topic

Mining search topics from a code search engine usage log (SKB, CVL), pp. 111–120.

MSR-2009-BirdRBHGD #git #mining

The promises and perils of mining git (CB, PCR, ETB, DJH, DMG, PTD), pp. 1–10.

MSR-2009-EnslenHPV #analysis #automation #identifier #mining #source code

Mining source code to automatically split identifiers for software analysis (EE, EH, LLP, KVS), pp. 71–80.

MSR-2009-HattoriL #mining

Mining the history of synchronous changes to refine code ownership (LH, ML), pp. 141–150.

MSR-2009-HerzigZ #challenge #mining #repository

Mining the Jazz repository: Challenges and opportunities (KH, AZ), pp. 159–162.

MSR-2009-LinsteadB #debugging #gnome #mining #modelling #statistics #topic

Mining the coherence of GNOME bug reports with statistical topic models (EL, PB), pp. 99–102.

MSR-2009-ShangJAH #framework #mining #pipes and filters #repository #research

MapReduce as a general framework to support research in Mining Software Repositories (MSR) (WS, ZMJ, BA, AEH), pp. 21–30.

WCRE-1999-LoRRV99a #algorithm #evaluation #mining #quantifier

Mining Quantified Temporal Rules: Formalism, Algorithms, and Evaluation (DL, GR, VPR, KV), pp. 62–71.

CHI-2009-Rader #repository #social

Yours, mine and (not) ours: social influences on group information repositories (ER), pp. 2095–2098.

CHI-2009-Thom-SantelliCG #authoring #collaboration #what

What’s mine is mine: territoriality in collaborative authoring (JTS, DC, GG), pp. 1481–1484.

DHM-2009-NamA #data mining #image #mining

Data Mining of Image Segments Data with Reduced Neurofuzzy System (DHN, EA), pp. 710–716.

DHM-2009-PanCL #adaptation #behaviour #mining #online #user interface

User Behavior Mining for On-Line GUI Adaptation (WP, YC, JL), pp. 275–284.

HCI-NT-2009-TogawaKY #communication #detection #mining #peer-to-peer #visualisation

Peer-to-Peer File Sharing Communication Detection System with Traffic Mining and Visualization (ST, KK, YY), pp. 900–909.

HIMI-DIE-2009-HorvathLK #analysis #approach #data mining #mining #usability

Usability Analyses of CRM Systems in Call Centers: The Data Mining Approach (ÁH, LL, AK), pp. 40–48.

HIMI-II-2009-SawaragiIHN #approach #identification #using

Identifying Latent Similarities among Near-Miss Incident Records Using a Text-Mining Method and a Scenario-Based Approach (TS, KI, YH, HN), pp. 594–603.

ICEIS-AIDSS-2009-Antunes #mining

Mining Patterns in the Presence of Domain Knowledge (CA), pp. 188–193.

ICEIS-AIDSS-2009-BiscarriMLGBM #detection #framework #mining

A Mining Framework to Detect Non-technical Losses in Power Utilities (FB, IM, CL, JIG, JB, RM), pp. 96–101.

ICEIS-AIDSS-2009-BratuP #data mining #mining #preprocessor #towards

Towards a Unified Strategy for the Preprocessing Step in Data Mining (CVB, RP), pp. 230–235.

ICEIS-AIDSS-2009-ChenC #data mining #mining

The Role of Data Mining Techniques in Emergency Management (NC, AC), pp. 118–123.

ICEIS-AIDSS-2009-Jou #algorithm #hybrid #mining

A Projection-based Hybrid Sequential Patterns Mining Algorithm (CJ), pp. 152–157.

ICEIS-AIDSS-2009-MarinicaOG #algorithm #mining #using

User-driven Association Rule Mining using a Local Algorithm (CM, AO, FG), pp. 200–205.

ICEIS-ISAS-2009-Petrusel #mining #modelling #process #workflow

Mining and Modeling Decision Workflows from DSS User Activity Logs (RP), pp. 144–149.

ICEIS-ISAS-2009-TatsiopoulosB #mining #ontology

Ontology Mapping based on Association Rule Mining (CT, BB), pp. 33–40.

ICEIS-J-2009-CunhaAM #data mining #mining #reuse

Knowledge Reuse in Data Mining Projects and Its Practical Applications (RCLVC, PJLA, SRdLM), pp. 317–324.

ICEIS-J-2009-FritzscheML #analysis #concept #data mining #design #industrial #interactive #mining #quality

Interactive Quality Analysis in the Automotive Industry: Concept and Design of an Interactive, Web-Based Data Mining Application (SF, MM, CL), pp. 402–414.

ICEIS-J-2009-MianiYSB #algorithm #fuzzy #mining #ontology

NARFO Algorithm: Mining Non-redundant and Generalized Association Rules Based on Fuzzy Ontologies (RGM, CAY, MTPS, MB), pp. 415–426.

CIKM-2009-ChenPBSM #data mining #exclamation #lessons learnt #mining

Practical lessons of data mining at Yahoo! (YC, DP, PB, AS, AM), pp. 1047–1056.

CIKM-2009-ChokG #framework #mining #network #realtime

Spatio-temporal association rule mining framework for real-time sensor network applications (HC, LG), pp. 1761–1764.

CIKM-2009-GuoR #interactive #mining #query

Mining linguistic cues for query expansion: applications to drug interaction search (SG, NR), pp. 335–344.

CIKM-2009-GwaderaC #mining #ranking #using

Mining and ranking streams of news stories using cross-stream sequential patterns (RG, FC), pp. 1709–1712.

CIKM-2009-KasneciEW #mining #named

MING: mining informative entity relationship subgraphs (GK, SE, GW), pp. 1653–1656.

CIKM-2009-MabroukehE #mining #ontology #predict #semantics #using #web

Using domain ontology for semantic web usage mining and next page prediction (NRM, CIE), pp. 1677–1680.

CIKM-2009-PitonBBG #data mining #mining

Domain driven data mining to improve promotional campaign ROI and select marketing channels (TP, JB, HB, FG), pp. 1057–1066.

CIKM-2009-PopescuGM #mining

Mining tourist information from user-supplied collections (AP, GG, PAM), pp. 1713–1716.

CIKM-2009-SahlgrenK #mining #social #social media

Terminology mining in social media (MS, JK), pp. 405–414.

CIKM-2009-Shi #adaptation #information retrieval #mining #web

Adaptive web mining of bilingual lexicons for cross language information retrieval (LS), pp. 1561–1564.

CIKM-2009-SunMG #graph #independence #information retrieval #mining

Independent informative subgraph mining for graph information retrieval (BS, PM, CLG), pp. 563–572.

CIKM-2009-TaoO #data type #mining

Mining data streams with periodically changing distributions (YT, MTÖ), pp. 887–896.

CIKM-2009-TaoO09a #data type #mining

Mining frequent itemsets in time-varying data streams (YT, MTÖ), pp. 1521–1524.

CIKM-2009-ZhangYWGGBYS #documentation #mining #named #social #web

sDoc: exploring social wisdom for document enhancement in web mining (XZ, LY, XW, HG, ZG, SB, YY, ZS), pp. 395–404.

CIKM-2009-ZouLGZ #graph #mining #nondeterminism

Frequent subgraph pattern mining on uncertain graph data (ZZ, JL, HG, SZ), pp. 583–592.

ECIR-2009-OrlandoS #mining #query

Mining Query Logs (SO, FS), pp. 814–817.

ECIR-2009-UdupaSBB #information retrieval #mining #query #quote

“They Are Out There, If You Know Where to Look”: Mining Transliterations of OOV Query Terms for Cross-Language Information Retrieval (RU, KS, AB, AB), pp. 437–448.

KDD-2009-AggarwalLWW #mining #nondeterminism

Frequent pattern mining with uncertain data (CCA, YL, JW, JW), pp. 29–38.

KDD-2009-AhmedXCM #biology #mining #modelling #topic

Structured correspondence topic models for mining captioned figures in biological literature (AA, EPX, WWC, RFM), pp. 39–48.

KDD-2009-BerlingerioPNG #data analysis #interactive #mining #workflow

Temporal mining for interactive workflow data analysis (MB, FP, MN, FG), pp. 109–118.

KDD-2009-BerneckerKRVZ #database #mining #nondeterminism #probability

Probabilistic frequent itemset mining in uncertain databases (TB, HPK, MR, FV, AZ), pp. 119–128.

KDD-2009-ChenLTW #adaptation #concept #mining

Extracting discriminative concepts for domain adaptation in text mining (BC, WL, IWT, TLW), pp. 179–188.

KDD-2009-DaruruMWG #clustering #data flow #data mining #mining #parallel #pervasive #scalability

Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data (SD, NMM, MW, JG), pp. 1115–1124.

KDD-2009-DeodharG #mining #predict

Mining for the most certain predictions from dyadic data (MD, JG), pp. 249–258.

KDD-2009-DingLZ #mining

Entity discovery and assignment for opinion mining applications (XD, BL, LZ), pp. 1125–1134.

KDD-2009-DuJDLT #approach #migration #mining

Migration motif: a spatial — temporal pattern mining approach for financial markets (XD, RJ, LD, VEL, JHTJ), pp. 1135–1144.

KDD-2009-Hand #data mining #mining #modelling #tool support

Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools (DJH), pp. 1–2.

KDD-2009-HanhijarviOVPTM #data mining #mining

Tell me something I don’t know: randomization strategies for iterative data mining (SH, MO, NV, KP, NT, HM), pp. 379–388.

KDD-2009-JinHS #machine learning #mining #named #novel #web

OpinionMiner: a novel machine learning system for web opinion mining and extraction (WJ, HHH, RKS), pp. 1195–1204.

KDD-2009-Kumar #challenge #mining #web

Mining web logs: applications and challenges (RK), pp. 3–4.

KDD-2009-Last #data mining #mining

Improving data mining utility with projective sampling (ML), pp. 487–496.

KDD-2009-LiMPF #mining #named #sequence #summary

DynaMMo: mining and summarization of coevolving sequences with missing values (LL, JM, NSP, CF), pp. 507–516.

KDD-2009-LoCHKS #approach #behaviour #classification #detection #mining

Classification of software behaviors for failure detection: a discriminative pattern mining approach (DL, HC, JH, SCK, CS), pp. 557–566.

KDD-2009-Mannila #data mining #mining

Randomization methods in data mining (HM), pp. 5–6.

KDD-2009-MaunzHK #graph #mining #refinement #scalability #using

Large-scale graph mining using backbone refinement classes (AM, CH, SK), pp. 617–626.

KDD-2009-MonrealePTG #mining #named #predict

WhereNext: a location predictor on trajectory pattern mining (AM, FP, RT, FG), pp. 637–646.

KDD-2009-NijssenGR #approach #constraints #correlation #mining #programming

Correlated itemset mining in ROC space: a constraint programming approach (SN, TG, LDR), pp. 647–656.

KDD-2009-PatnaikMSR #data mining #mining #using

Sustainable operation and management of data center chillers using temporal data mining (DP, MM, RKS, NR), pp. 1305–1314.

KDD-2009-PoernomoG09a #fault tolerance #mining #performance #towards

Towards efficient mining of proportional fault-tolerant frequent itemsets (AKP, VG), pp. 697–706.

KDD-2009-ShenJY #matrix #mining

Mining discrete patterns via binary matrix factorization (BHS, SJ, JY), pp. 757–766.

KDD-2009-Srivastava #data mining #mining

Data mining at NASA: from theory to applications (ANS), pp. 7–8.

KDD-2009-SunPLCWLRY #estimation #mining

Mining brain region connectivity for alzheimer’s disease study via sparse inverse covariance estimation (LS, RP, JL, KC, TW, JL, ER, JY), pp. 1335–1344.

KDD-2009-WangCP #aspect-oriented #mining #query

Mining broad latent query aspects from search sessions (XW, DC, KP), pp. 867–876.

KDD-2009-XuYL #mining #using

Named entity mining from click-through data using weakly supervised latent dirichlet allocation (GX, SHY, HL), pp. 1365–1374.

KDD-2009-YeK #data mining #mining

Time series shapelets: a new primitive for data mining (LY, EJK), pp. 947–956.

KDD-2009-YooYLM #email #mining #network #personalisation #social

Mining social networks for personalized email prioritization (SY, YY, FL, ICM), pp. 967–976.

KDD-2009-ZhuM #mining #web

Mining rich session context to improve web search (GZ, GM), pp. 1037–1046.

KDD-2009-ZhuWKL #mining

Augmenting the generalized hough transform to enable the mining of petroglyphs (QZ, XW, EJK, SHL), pp. 1057–1066.

KDIR-2009-EnguixDJ #mining #natural language

DNA and Natural Languages — Text Mining (GBE, VD, MDJL), pp. 140–145.

KDIR-2009-FatemiPRS #concept #mining #retrieval #semantics #using #video

Using Association Rule Mining to Enrich Semantic Concepts for Video Retrieval (NF, FP, LER, AFS), pp. 119–126.

KDIR-2009-Fernandez-FernandezG #mining #query #taxonomy #topic

Hierarchical Taxonomy Extraction by Mining Topical Query Sessions (MFF, DGA), pp. 229–235.

KDIR-2009-PenaVP #data mining #mining

Explorative Data Mining for the Sizing of Population Groups (IP, HLV, EP), pp. 152–159.

KDIR-2009-SaneifarBLPR #mining

Mining for Relevant Terms from Log Files (HS, SB, AL, PP, MR), pp. 77–84.

KDIR-2009-WohrerZDB #composition #data mining #metaprogramming #mining #optimisation #towards

Unboxing Data Mining Via Decomposition in Operators — Towards Macro Optimization and Distribution (AW, YZ, EuHD, PB), pp. 243–248.

KDIR-2009-Zhan #collaboration #data mining #mining #privacy

Privacy-Preserving Collaborative Data Mining (JZ), p. 15.

KEOD-2009-Zhan #collaboration #data mining #mining #privacy

Privacy-Preserving Collaborative Data Mining (JZ), p. 15.

KMIS-2009-Zhan #collaboration #data mining #mining #privacy

Privacy-Preserving Collaborative Data Mining (JZ), p. 15.

MLDM-2009-CeciALCFVM #data type #detection #mining #relational

Relational Frequent Patterns Mining for Novelty Detection from Data Streams (MC, AA, CL, CC, FF, CV, DM), pp. 427–439.

MLDM-2009-FernandezBFM #automation #data mining #mining

Assisting Data Mining through Automated Planning (FF, DB, SF, DMM), pp. 760–774.

MLDM-2009-KovalevPV #image #mining

Mining Lung Shape from X-Ray Images (VK, AP, PV), pp. 554–568.

MLDM-2009-LoglisciM #mining #multi

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies (CL, DM), pp. 251–265.

MLDM-2009-MendesA #approach #mining #natural language

Pattern Mining with Natural Language Processing: An Exploratory Approach (ACM, CA), pp. 266–279.

RecSys-2009-Tolomei #mining #process #recommendation #web

Search the web x.0: mining and recommending web-mediated processes (GT), pp. 417–420.

SEKE-2009-AlvaresOHB #data mining #framework #mining #preprocessor

A Framework for Trajectory Data Preprocessing for Data Mining (LOA, GO, CAH, VB), pp. 698–702.

SEKE-2009-AndresMN #mining #realtime #testing #using

Using a Mining Frequency Patterns Model to Automate Passive Testing of Real-time Systems (CA, MGM, MN), pp. 426–431.

SEKE-2009-CellierDFR #data mining #fault #locality #mining #named #process

DeLLIS: A Data Mining Process for Fault Localization (PC, MD, SF, OR), pp. 432–437.

SEKE-2009-VanHilstH #metric #mining #process #repository

Mining Objective Process Metrics from Repository Data (MVH, SH), pp. 514–519.

SIGIR-2009-WongLC #adaptation #detection #information management #mining

Mining employment market via text block detection and adaptive cross-domain information extraction (TLW, WL, BC), pp. 283–290.

SIGIR-2009-YeHL #approach #graph #mining #multi #wiki #word

A graph-based approach to mining multilingual word associations from wikipedia (ZY, XH, HL), pp. 690–691.

SIGIR-2009-ZhangWLOJH #dependence #mining #parsing

Mining product reviews based on shallow dependency parsing (QZ, YW, TL, MO, JJ, XH), pp. 726–727.

ECMDA-FA-2009-KublerG #approach #mining #qvt #using

A Pattern Mining Approach Using QVT (JK, TG), pp. 50–65.

MoDELS-2009-Booch #architecture #mining

Architectural Mining: The Other Side of the MDD (GB), p. 627.

MoDELS-2009-Booch #architecture #mining

Architectural Mining: The Other Side of the MDD (GB), p. 627.

ECOOP-2009-ZhongXZPM #api #mining #named #recommendation

MAPO: Mining and Recommending API Usage Patterns (HZ, TX, LZ, JP, HM), pp. 318–343.

SAC-2009-CaldersGPR #mining #process #using

Using minimum description length for process mining (TC, CWG, MP, AR), pp. 1451–1455.

SAC-2009-EsfahaniMSU #mining #process #using

Using process mining to business process distribution (FSE, MAAM, MNS, NIU), pp. 2140–2145.

SAC-2009-LinL #generative #mining

Optimal candidate generation in spatial co-location mining (ZL, SL), pp. 1441–1445.

SAC-2009-LiuMYGF #corpus #mining #probability

A sentence level probabilistic model for evolutionary theme pattern mining from news corpora (SL, YM, WGY, NG, OF), pp. 1742–1747.

SAC-2009-OwensMR #dataset #mining

Capturing truthiness: mining truth tables in binary datasets (CCOI, TMM, NR), pp. 1467–1474.

SAC-2009-ShangLL #biology #functional #mining #network

Mining functional associated patterns from biological network data (XS, ZL, WL), pp. 1488–1489.

ESEC-FSE-2009-NguyenNPAN #graph #mining #multi

Graph-based mining of multiple object usage patterns (TTN, HAN, NHP, JMAK, TNN), pp. 383–392.

ESEC-FSE-2009-ThummalapentaXTHS #generative #mining #named #object-oriented #source code #testing

MSeqGen: object-oriented unit-test generation via mining source code (ST, TX, NT, JdH, WS), pp. 193–202.

ICSE-2009-ThummalapentaX #mining #sequence

Mining exception-handling rules as sequence association rules (ST, TX), pp. 496–506.

PPoPP-2009-MaA #compilation #data mining #mining #runtime

A compiler and runtime system for enabling data mining applications on gpus (WM, GA), pp. 287–288.

SOSP-2009-XuHFPJ #detection #mining #problem #scalability

Detecting large-scale system problems by mining console logs (WX, LH, AF, DAP, MIJ), pp. 117–132.

ISSTA-2009-ChengLZWY #debugging #graph #identification #mining #using

Identifying bug signatures using discriminative graph mining (HC, DL, YZ, XW, XY), pp. 141–152.

ISSTA-2009-JiangS #automation #mining #random testing #testing

Automatic mining of functionally equivalent code fragments via random testing (LJ, ZS), pp. 81–92.

ASE-2008-LoM #mining

Mining Scenario-Based Triggers and Effects (DL, SM), pp. 109–118.

ASE-2008-ThummalapentaX #detection #framework #mining #named #open source #source code #web

SpotWeb: Detecting Framework Hotspots and Coldspots via Mining Open Source Code on the Web (ST, TX), pp. 327–336.

CASE-2008-Balasundaram #graph #mining

Cohesive subgroup model for graph-based text mining (BB), pp. 989–994.

CASE-2008-BenedettoDSW #automation #mining #verification

Automatic verification of wireless control in a mining ventilation system (MDDB, AD, ES, EW), pp. 858–863.

CASE-2008-FischionePRST #architecture #automation #communication #mining

Mining ventilation automation: Wireless sensing, communication architecture and advanced services (CF, LP, CR, FS, ST), pp. 851–857.

CASE-2008-SandouWON

Receding horizon climate control in metal mine extraction rooms (GS, EW, SO, SIN), pp. 839–844.

CASE-2008-WitrantJ #mining #modelling

Air flow modeling in deepwells: Application to mining ventilation (EW, KHJ), pp. 845–850.

DATE-2008-ChengH #invariant #mining #verification

Simulation-Directed Invariant Mining for Software Verification (XC, MSH), pp. 682–687.

DocEng-2008-CodocedoA #documentation #information management #mining #repository

No mining, no meaning: relating documents across repositories with ontology-driven information extraction (VC, HA), pp. 110–118.

DRR-2008-Schomaker #mining #word

Word mining in a sparsely labeled handwritten collection (LRBS), p. 68150.

HT-2008-KolakS #generative #mining

Generating links by mining quotations (OK, BNS), pp. 117–126.

SIGMOD-2008-PatelHL #classification #mining

Mining relationships among interval-based events for classification (DP, WH, MLL), pp. 393–404.

SIGMOD-2008-Ramaswamy #data mining #mining

Extreme data mining (SR), pp. 1–2.

SIGMOD-2008-SunWYCHYZ #mining #named #network

BibNetMiner: mining bibliographic information networks (YS, TW, ZY, HC, JH, XY, PZ), pp. 1341–1344.

SIGMOD-2008-WangPTT #mining #named #visualisation

CSV: visualizing and mining cohesive subgraphs (NW, SP, KLT, AKHT), pp. 445–458.

SIGMOD-2008-YanCHY #graph #mining

Mining significant graph patterns by leap search (XY, HC, JH, PSY), pp. 433–444.

VLDB-2008-Bar-YossefG #mining #query

Mining search engine query logs via suggestion sampling (ZBY, MG), pp. 54–65.

VLDB-2008-DingTSWK #comparison #distance #metric #mining #query

Querying and mining of time series data: experimental comparison of representations and distance measures (HD, GT, PS, XW, EJK), pp. 1542–1552.

VLDB-2008-LoK #mining #specification

Mining patterns and rules for software specification discovery (DL, SCK), pp. 1609–1616.

VLDB-2008-ZhangPWN #correlation #higher-order #mining

Mining non-redundant high order correlations in binary data (XZ, FP, WW, ABN), pp. 1178–1188.

ICPC-2008-BhattiDR #mining #object-oriented

Aspect Mining in Procedural Object Oriented Code (MUB, SD, AR), pp. 230–235.

ICSM-2008-Lo #execution #mining #specification

Mining specifications in diversified formats from execution traces (DL), pp. 420–423.

MSR-2008-Bernstein #data mining #how #mining

How to learn enough data mining to be dangerous in 60 minutes (AB), pp. 77–78.

MSR-2008-HillFBSNPV #automation #maintenance #mining #named #source code #tool support

AMAP: automatically mining abbreviation expansions in programs to enhance software maintenance tools (EH, ZPF, HB, GS, YN, LLP, KVS), pp. 79–88.

MSR-2008-LaymanNGBB #analysis #mining #visual notation

Mining software effort data: preliminary analysis of visual studio team system data (LL, NN, SG, JB, AB), pp. 43–46.

MSR-2008-SchulerZ #mining

Mining usage expertise from version archives (DS, TZ), pp. 121–124.

MSR-2008-ThomsonH #correctness #cvs

Correctness of data mined from CVS (CT, MH), pp. 117–120.

MSR-2008-ThummalapentaX #detection #framework #mining #named #open source #repository #web

SpotWeb: detecting framework hotspots via mining open source repositories on the web (ST, TX), pp. 109–112.

PASTE-2008-LoM #mining #modelling #specification

Specification mining of symbolic scenario-based models (DL, SM), pp. 29–35.

WCRE-2008-IshioDMI #detection #java #mining #source code

Mining Coding Patterns to Detect Crosscutting Concerns in Java Programs (TI, HD, TM, KI), pp. 123–132.

WCRE-2008-MensKK #mining

Pitfalls in Aspect Mining (KM, AK, JK), pp. 113–122.

CHI-2008-DanisVWK #community #component #visualisation

Your place or mine?: visualization as a community component (CMD, FBV, MW, JK), pp. 275–284.

CHI-2008-PeltonenKSJIEOS #exclamation #interactive #multi #scalability

It’s Mine, Don’t Touch!: interactions at a large multi-touch display in a city centre (PP, EK, AS, GJ, TI, JE, AO, PS), pp. 1285–1294.

ICEIS-AIDSS-2008-BiscarriMLGBM #data mining #mining #variability

A Data Mining Method Based on the Variability of the Customer Consumption — A Special Application on Electric Utility Companies (FB, IM, CL, JIG, JB, RM), pp. 370–374.

ICEIS-AIDSS-2008-BrissonC #data mining #mining #ontology #process

An Ontology Driven Data Mining Process (LB, MC), pp. 54–61.

ICEIS-AIDSS-2008-IngvaldsenG #mining #process

EVS Process Miner: Incorporating Ideas from Search, ETL into Process Mining (JEI, JAG), pp. 340–347.

ICEIS-AIDSS-2008-JansLV #case study #data mining #mining #reduction

Internal Fraud Risk Reduction — Results of a Data Mining Case Study (MJ, NL, KV), pp. 161–166.

ICEIS-AIDSS-2008-NguyenG #approach #evolution #mining #multi

Rule Evolution Approach for Mining Multivariate Time Series Data (VAN, VG), pp. 19–26.

ICEIS-DISI-2008-Gorea #architecture #concept #data mining #mining #modelling #named #web

DeVisa — Concepts and Architecture of a Data Mining Models Scoring and Management Web System (DG), pp. 276–281.

ICEIS-ISAS2-2008-Nikovski #concurrent #mining #process #representation #workflow

Workflow Trees for Representation and Mining of Implicitly Concurrent Business Processes (DN), pp. 30–36.

ICEIS-ISAS2-2008-SchultK #adaptation #automation #concept #data mining #enterprise #mining #self

Self-Adaptive Customizing with Data Mining Methods — A Concept for the Automatic Customizing of an ERP System with Data Mining Methods (RS, GK), pp. 70–75.

ICEIS-J-2008-BrissonC08a #data mining #how #mining #process #question #semantics

How to Semantically Enhance a Data Mining Process? (LB, MC), pp. 103–116.

CIKM-2008-Agrawal #data mining #mining

Humane data mining (RA), pp. 1–2.

CIKM-2008-AlqadahB #algorithm #clustering #effectiveness #mining

An effective algorithm for mining 3-clusters in vertically partitioned data (FA, RB), pp. 1103–1112.

CIKM-2008-LinL #clique #mining #performance

Fast spatial co-location mining without cliqueness checking (ZL, SL), pp. 1461–1462.

CIKM-2008-LiWT #documentation #effectiveness #mining #taxonomy

Effective pattern taxonomy mining in text documents (YL, STW, XT), pp. 1509–1510.

CIKM-2008-LiZBXL #information management #mining

A two-stage text mining model for information filtering (YL, XZ, PB, YX, RYKL), pp. 1023–1032.

CIKM-2008-LoekitoB #behaviour #mining

Mining influential attributes that capture class and group contrast behaviour (EL, JB), pp. 971–980.

CIKM-2008-MaYLK #mining #network #process #social #using

Mining social networks using heat diffusion processes for marketing candidates selection (HM, HY, MRL, IK), pp. 233–242.

CIKM-2008-MiaoLD #integration #mining

An integration strategy for mining product features and opinions (QM, QL, RD), pp. 1369–1370.

CIKM-2008-TanbeerAJL #data type #mining #performance

Efficient frequent pattern mining over data streams (SKT, CFA, BSJ, YKL), pp. 1447–1448.

CIKM-2008-TongSEF #mining #performance

Fast mining of complex time-stamped events (HT, YS, TER, CF), pp. 759–768.

CIKM-2008-UdupaSKJ #corpus #mining

Mining named entity transliteration equivalents from comparable corpora (RU, KS, AK, JJ), pp. 1423–1424.

CIKM-2008-WangZ #effectiveness #mining #query

Mining term association patterns from search logs for effective query reformulation (XW, CZ), pp. 479–488.

ECIR-2008-Berendt #documentation #information retrieval #mining #web

You Are a Document Too: Web Mining and IR for Next-Generation Information Literacy (BB), p. 3.

ECIR-2008-SchedlKPW #automation #information management #mining #music #towards #web

Towards an Automatically Generated Music Information System Via Web Content Mining (MS, PK, TP, GW), pp. 585–590.

ECIR-2008-SongHRB #composition #mining #modelling #multi #query #using

Facilitating Query Decomposition in Query Language Modeling by Association Rule Mining Using Multiple Sliding Windows (DS, QH, SMR, PB), pp. 334–345.

KDD-2008-BifetG #adaptation #data type #mining

Mining adaptively frequent closed unlabeled rooted trees in data streams (AB, RG), pp. 34–42.

KDD-2008-BlockeelCFGPR #database #induction #mining #prototype

An inductive database prototype based on virtual mining views (HB, TC, ÉF, BG, AP, CR), pp. 1061–1064.

KDD-2008-BrickellS #cost analysis #privacy

The cost of privacy: destruction of data-mining utility in anonymized data publishing (JB, VS), pp. 70–78.

KDD-2008-CaoJPHLCL #mining #query

Context-aware query suggestion by mining click-through and session data (HC, DJ, JP, QH, ZL, EC, HL), pp. 875–883.

KDD-2008-ChoRC #data mining #identification #mining #network

Reconstructing chemical reaction networks: data mining meets system identification (YJC, NR, YC), pp. 142–150.

KDD-2008-FanZCGYHYV #mining #modelling

Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.

KDD-2008-GrossmanG #data mining #mining #performance #using

Data mining using high performance data clouds: experimental studies using sector and sphere (RLG, YG), pp. 920–927.

KDD-2008-GuptaFFSK #algorithm #approximate #evaluation #mining

Quantitative evaluation of approximate frequent pattern mining algorithms (RG, GF, BF, MS, VK), pp. 301–309.

KDD-2008-HwangKRZ #graph #mining

Bridging centrality: graph mining from element level to group level (WH, TK, MR, AZ), pp. 336–344.

KDD-2008-JiangPLCH #mining

Mining preferences from superior and inferior examples (BJ, JP, XL, DWC, JH), pp. 390–398.

KDD-2008-KotsifakosNVT #data mining #mining #modelling #named

Pattern-Miner: integrated management and mining over data mining models (EEK, IN, YV, YT), pp. 1081–1084.

KDD-2008-LingMZS #mining #multi #topic

Mining multi-faceted overviews of arbitrary topics in a text collection (XL, QM, CZ, BRS), pp. 497–505.

KDD-2008-PedreschiRT #data mining #mining

Discrimination-aware data mining (DP, SR, FT), pp. 560–568.

KDD-2008-RaedtGN #constraints #mining #programming

Constraint programming for itemset mining (LDR, TG, SN), pp. 204–212.

KDD-2008-SaigoKT #graph #mining

Partial least squares regression for graph mining (HS, NK, KT), pp. 578–586.

KDD-2008-ShaoCTYA #mining #performance #sequence

Efficient ticket routing by resolution sequence mining (QS, YC, ST, XY, NA), pp. 605–613.

KDD-2008-ShengPI #data mining #mining #multi #quality #using

Get another label? improving data quality and data mining using multiple, noisy labelers (VSS, FJP, PGI), pp. 614–622.

KDD-2008-ShiehK #mining #named

iSAX: indexing and mining terabyte sized time series (JS, EJK), pp. 623–631.

KDD-2008-TangZYLZS #mining #named #network #social

ArnetMiner: extraction and mining of academic social networks (JT, JZ, LY, JL, LZ, ZS), pp. 990–998.

KDD-2008-TongPSYF #graph #mining #named #performance #scalability

Colibri: fast mining of large static and dynamic graphs (HT, SP, JS, PSY, CF), pp. 686–694.

KDD-2008-ZhangZS #categorisation #concept #data type #mining

Categorizing and mining concept drifting data streams (PZ, XZ, YS), pp. 812–820.

RecSys-2008-ShaniCM #mining #recommendation #web

Mining recommendations from the web (GS, DMC, CM), pp. 35–42.

SEKE-2008-BahsoonE #mining

An Example on Economics-driven Software Mining (RB, WE), pp. 375–380.

SEKE-2008-DingH #algorithm #mining #named #performance

VP: an Efficient Algorithm for Frequent Itemset Mining (QD, WSH), pp. 381–386.

SEKE-2008-WuSF #clustering #mining #re-engineering

Discovering Meaningful Clusters from Mining the Software Engineering Literature (YW, HPS, LF), pp. 613–618.

SIGIR-2008-HuCBLCY #mining #query #web

Web query translation via web log mining (RH, WC, PB, YL, ZC, QY), pp. 749–750.

SIGIR-2008-ZhouQLBQC #bibliography #mining #named

SOPING: a Chinese customer review mining system (CZ, GQ, KL, JB, MQ, CC), pp. 741–742.

RE-2008-Castro-HerreraDCM #data mining #elicitation #mining #process #recommendation #requirements #scalability #using

Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes (CCH, CD, JCH, BM), pp. 165–168.

SAC-2008-AntonyBHP #approach #biology #interactive #mining #using #validation

Computational approach to biological validation of protein-protein interactions discovered using literature mining (AA, SB, SH, MJP), pp. 1302–1306.

SAC-2008-LaRosaXM #kernel #mining

Frequent pattern mining for kernel trace data (CL, LX, KM), pp. 880–885.

SAC-2008-LiZC #case study #mining

Mining disease-specific molecular association profiles from biomedical literature: a case study (JL, XZ, JYC), pp. 1287–1291.

SAC-2008-MontanaTT #algorithm #data type #mining

Data stream mining for market-neutral algorithmic trading (GM, KT, TT), pp. 966–970.

SAC-2008-WeiSWS #email #forensics #identification #mining

Mining spam email to identify common origins for forensic application (CW, AS, GW, AS), pp. 1433–1437.

SAC-2008-ZengLL #fault tolerance #mining

Mining fault-tolerant frequent patterns efficiently with powerful pruning (JJZ, GL, CCL), pp. 927–931.

FSE-2008-GabelS #automation #mining #named

Javert: fully automatic mining of general temporal properties from dynamic traces (MG, ZS), pp. 339–349.

ICSE-2008-GabelS #mining #specification

Symbolic mining of temporal specifications (MG, ZS), pp. 51–60.

ICSE-2008-SankaranarayananIG #induction #library #logic programming #mining #specification #using

Mining library specifications using inductive logic programming (SS, FI, AG), pp. 131–140.

ICSE-2008-SchaferJM #framework #mining

Mining framework usage changes from instantiation code (TS, JJ, MM), pp. 471–480.

HPDC-2008-ShrinivasN #data mining #detection #grid #mining

Issues in applying data mining to grid job failure detection and diagnosis (LS, JFN), pp. 239–240.

HPDC-2008-XiaFJTW #approach #correlation #evaluation #file system #mining #named #novel #optimisation #performance

FARMER: a novel approach to file access correlation mining and evaluation reference model for optimizing peta-scale file system performance (PX, DF, HJ, LT, FW), pp. 185–196.

PPoPP-2008-TatikondaP #adaptation #approach #architecture #manycore #memory management #mining

An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures (ST, SP), pp. 263–264.

ICST-2008-ZaidmanRDD #co-evolution #mining #repository

Mining Software Repositories to Study Co-Evolution of Production & Test Code (AZ, BVR, SD, AvD), pp. 220–229.

ASE-2007-Kagdi #fine-grained #mining #predict #source code

Improving change prediction with fine-grained source code mining (HHK), pp. 559–562.

ASE-2007-KagdiCM #approach #mining

An approach to mining call-usage patternswith syntactic context (HHK, MLC, JIM), pp. 457–460.

ASE-2007-LinsteadRBLB #concept #mining #modelling #probability #topic

Mining concepts from code with probabilistic topic models (EL, PR, SKB, CVL, PB), pp. 461–464.

ASE-2007-LoMK #execution #mining #specification

Mining modal scenario-based specifications from execution traces of reactive systems (DL, SM, SCK), pp. 465–468.

CASE-2007-RamachandranEMB #data mining #health #mining

Data Mining in Military Health Systems — Clinical and Administrative Applications (SR, ME, RJM, PCB), pp. 158–163.

DAC-2007-SarnoWELGSLW #ll

IP Exchange: I’ll Show You Mine if You Show Me Yours (LS, RW, SKE, LL, JG, GS, SL, DW), pp. 990–991.

DAC-2007-WangBA #correlation #data mining #mining #perspective

Design-Silicon Timing Correlation A Data Mining Perspective (LCW, PB, MSA), pp. 384–389.

DATE-2007-BabighianKV #data mining #interactive #mining #optimisation

Interactive presentation: PowerQuest: trace driven data mining for power optimization (PB, GK, MYV), pp. 1078–1083.

ICDAR-2007-CeciBPM #approach #data mining #detection #mining #order

A Data Mining Approach to Reading Order Detection (MC, MB, GP, DM), pp. 924–928.

SIGMOD-2007-FaloutsosKS #graph #matrix #mining #scalability #tool support #using

Mining large graphs and streams using matrix and tensor tools (CF, TGK, JS), p. 1174.

SIGMOD-2007-VardeRS #data mining #mining #named #optimisation #process #visual notation

AutoDomainMine: a graphical data mining system for process optimization (ASV, EAR, RDSJ), pp. 1103–1105.

VLDB-2007-GonzalezHLMS #adaptation #approach #mining #network #performance

Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach (HG, JH, XL, MM, JPS), pp. 794–805.

VLDB-2007-LiH #approximate #mining #multi

Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data (XL, JH), pp. 447–458.

VLDB-2007-LiL #mining #multi #optimisation

Optimization of Frequent Itemset Mining on Multiple-Core Processor (EL, LL), pp. 1275–1285.

VLDB-2007-WongCHKM #mining #outsourcing #security

Security in Outsourcing of Association Rule Mining (WKW, DWC, EH, BK, NM), pp. 111–122.

FASE-2007-RatzingerPG #evolution #fault #named #predict

EQ-Mine: Predicting Short-Term Defects for Software Evolution (JR, MP, HCG), pp. 12–26.

CSMR-2007-GrossoPG #approach #database #mining

An approach for mining services in database oriented applications (CDG, MDP, IGRdG), pp. 287–296.

ICPC-2007-KagdiMS #mining #repository #traceability

Mining Software Repositories for Traceability Links (HHK, JIM, BS), pp. 145–154.

ICPC-2007-RoyURD #case study #mining

Evaluating Aspect Mining Techniques: A Case Study (CKR, MGU, BR, TRD), pp. 167–176.

ICSM-2007-AntoniolGMT #evolution #mining

Mining the Lexicon Used by Programmers during Sofware Evolution (GA, YGG, EM, PT), pp. 14–23.

MSR-2007-KagdiCM #mining #source code

Comparing Approaches to Mining Source Code for Call-Usage Patterns (HHK, MLC, JIM), p. 20.

MSR-2007-KieferBT #evolution #mining #ontology #repository

Mining Software Repositories with iSPAROL and a Software Evolution Ontology (CK, AB, JT), p. 10.

MSR-2007-LinsteadRBLB #developer #eclipse #mining #modelling #topic

Mining Eclipse Developer Contributions via Author-Topic Models (EL, PR, SKB, CVL, PB), p. 30.

MSR-2007-Masticola #development #lightweight #mining #repository #using

Lightweight Risk Mitigation for Software Development Projects Using Repository Mining (SPM), p. 13.

MSR-2007-MorisakiMMTM #data analysis #fault #mining

Defect Data Analysis Based on Extended Association Rule Mining (SM, AM, TM, HT, KiM), p. 3.

MSR-2007-Robbes #mining #repository

Mining a Change-Based Software Repository (RR), p. 15.

MSR-2007-WeissgerberPB #data mining #detection #developer #how #mining #visual notation

Visual Data Mining in Software Archives to Detect How Developers Work Together (PW, MP, MB), p. 9.

MSR-2007-YuR #cvs #developer #mining #open source #repository

Mining CVS Repositories to Understand Open-Source Project Developer Roles (LY, SR), p. 8.

MSR-2007-Zimmermann #cvs #mining

Mining Workspace Updates in CVS (TZ), p. 11.

WCRE-2007-RaberL #data mining #debugging #mining #using

Emulated Breakpoint Debugger and Data Mining Using Detours (JR, EL), pp. 271–272.

PLDI-2007-RamanathanGJ #mining #specification #using

Static specification inference using predicate mining (MKR, AG, SJ), pp. 123–134.

HCI-AS-2007-KimuraTHTAOT #analysis #approach #using

The Analysis of Near-Miss Cases Using Data-Mining Approach (MK, KT, TH, YT, TA, MO, FT), pp. 474–483.

HCI-AS-2007-XueL #data mining #distributed #mining #modelling #research #similarity

Research of Distributed Data Mining Association Rules Model Based on Similarity (SX, ZL), pp. 1180–1189.

HCI-MIE-2007-ChevrinC #interactive #mining #multi

Dynamic Association Rules Mining to Improve Intermediation Between User Multi-channel Interactions and Interactive e-Services (VC, OC), pp. 265–274.

HIMI-IIE-2007-KanekoNATT #analysis #generative #mining #using

A Method for Generating Plans for Retail Store Improvements Using Text Mining and Conjoint Analysis (TK, YN, MA, TT, YT), pp. 910–917.

HIMI-MTT-2007-HuangLW #correlation #mining #multi

Mining Attack Correlation Scenarios Based on Multi-agent System (SH, ZL, LW), pp. 632–641.

HIMI-MTT-2007-NishimuraH #approach #case study #data mining #fault #mining #visualisation

The Study of Past Working History Visualization for Supporting Trial and Error Approach in Data Mining (KN, MH), pp. 327–334.

HIMI-MTT-2007-TogawaKY #communication #detection #mining #network #peer-to-peer #using

Peer-to-Peer File Sharing Communication Detection System Using Network Traffic Mining (ST, KK, YY), pp. 769–778.

ICEIS-AIDSS-2007-Aalst #analysis #mining #process #roadmap #verification

Trends in business process analysis — from verification to process mining (WMPvdA), pp. 5–9.

ICEIS-AIDSS-2007-BecksH #analysis #industrial #mining

Trend Analysis Based on Explorative Data and Text Mining: A Decision Support System for the European Home Textile Industry (AB, JH), pp. 253–258.

ICEIS-AIDSS-2007-SokolovaF #architecture #assessment #data mining #mining #multi

A Multi-Agent Architecture for Environmental Impact Assessment: Information Fusion, Data Mining and Decision Making (MVS, AFC), pp. 219–224.

ICEIS-AIDSS-2007-WanzellerB #assessment #data mining #mining #similarity

Similarity Assessment in a CBR Application for Clickstream Data Mining Plans Selection (CW, OB), pp. 137–144.

ICEIS-DISI-2007-Aalst #analysis #mining #process #roadmap #verification

Trends in business process analysis — from verification to process mining (WMPvdA), pp. 5–9.

ICEIS-EIS-2007-Aalst #analysis #mining #process #roadmap #verification

Trends in business process analysis — from verification to process mining (WMPvdA), pp. 5–9.

ICEIS-HCI-2007-Aalst #analysis #mining #process #roadmap #verification

Trends in business process analysis — from verification to process mining (WMPvdA), pp. 5–9.

ICEIS-SAIC-2007-Aalst #analysis #mining #process #roadmap #verification

Trends in business process analysis — from verification to process mining (WMPvdA), pp. 5–9.

CIKM-2007-AngiulliF #mining #performance

Very efficient mining of distance-based outliers (FA, FF), pp. 791–800.

CIKM-2007-DonZGTACSP #mining #visualisation

Discovering interesting usage patterns in text collections: integrating text mining with visualization (AD, EZ, MG, ST, LA, TC, BS, CP), pp. 213–222.

CIKM-2007-ParkR #information retrieval #mining #multi #web

Mining web multi-resolution community-based popularity for information retrieval (LAFP, KR), pp. 545–554.

CIKM-2007-WuHK #mining #web

Mining redundancy in candidate-bearing snippets to improve web question answering (YW, XH, HK), pp. 999–1002.

KDD-2007-ArchakGI #exclamation #mining #power of

Show me the money!: deriving the pricing power of product features by mining consumer reviews (NA, AG, PGI), pp. 56–65.

KDD-2007-CotofreiS #data mining #mining #probability #process

Stochastic processes and temporal data mining (PC, KS), pp. 183–190.

KDD-2007-DouFRFMT #development #framework #mining #ontology

Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies (DD, GAF, JR, RMF, ADM, DMT), pp. 270–279.

KDD-2007-Fayyad #internet #mining #web

From mining the web to inventing the new sciences underlying the internet (UMF), pp. 2–3.

KDD-2007-GaoESCX #consistency #data mining #mining #problem #set

The minimum consistent subset cover problem and its applications in data mining (BJG, ME, JyC, OS, HX), pp. 310–319.

KDD-2007-GiannottiNPP #mining

Trajectory pattern mining (FG, MN, FP, DP), pp. 330–339.

KDD-2007-GuoZXF #data mining #database #learning #mining #multimodal

Enhanced max margin learning on multimodal data mining in a multimedia database (ZG, ZZ, EPX, CF), pp. 340–349.

KDD-2007-JanssensGM #analysis #clustering #hybrid #mining

Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis (FALJ, WG, BDM), pp. 360–369.

KDD-2007-Kleinberg #challenge #mining #network #privacy #process #social

Challenges in mining social network data: processes, privacy, and paradoxes (JMK), pp. 4–5.

KDD-2007-LiLW #equivalence #mining #statistics

Mining statistically important equivalence classes and delta-discriminative emerging patterns (JL, GL, LW), pp. 430–439.

KDD-2007-LoKL #mining #performance #specification

Efficient mining of iterative patterns for software specification discovery (DL, SCK, CL), pp. 460–469.

KDD-2007-NijssenF #mining

Mining optimal decision trees from itemset lattices (SN, ÉF), pp. 530–539.

KDD-2007-PanZZPSPY #mining #modelling #network

Domain-constrained semi-supervised mining of tracking models in sensor networks (RP, JZ, VWZ, JJP, DS, SJP, QY), pp. 1023–1027.

KDD-2007-Parthasarathy #data mining #learning #mining

Data mining at the crossroads: successes, failures and learning from them (SP), pp. 1053–1055.

KDD-2007-SunFPY #graph #mining #named #scalability

GraphScope: parameter-free mining of large time-evolving graphs (JS, CF, SP, PSY), pp. 687–696.

KDD-2007-TongFK #graph #mining #performance #proximity

Fast direction-aware proximity for graph mining (HT, CF, YK), pp. 747–756.

KDD-2007-WangZHS #coordination #correlation #mining #topic

Mining correlated bursty topic patterns from coordinated text streams (XW, CZ, XH, RS), pp. 784–793.

KDD-2007-WongFPW #mining

Mining favorable facets (RCWW, JP, AWCF, KW), pp. 804–813.

KDD-2007-ZhaoDZ #mining #network

Mining complex power networks for blackout prevention (JHZ, ZYD, PZ), pp. 986–994.

KDD-2007-ZhaoMY #mining

Mining templates from search result records of search engines (HZ, WM, CTY), pp. 884–893.

MLDM-2007-AoYHH #data type #mining

Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree (FA, YY, JH, KH), pp. 479–489.

MLDM-2007-GellerPK #mining

Blog Mining for the Fortune 500 (JG, SP, SK), pp. 379–391.

MLDM-2007-Morzy #mining #predict

Mining Frequent Trajectories of Moving Objects for Location Prediction (MM), pp. 667–680.

MLDM-2007-PalancarTCL #algorithm #distributed #memory management #mining #parallel

Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules (JHP, OFT, JFC, RHL), pp. 349–363.

MLDM-2007-SadoddinG #case study #comparative #data mining #detection #machine learning #mining

A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection (RS, AAG), pp. 404–418.

MLDM-2007-TanN #data mining #mining #privacy #probability #re-engineering

Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining (VYFT, SKN), pp. 76–90.

MLDM-2007-WangLYC #classification #data type #fuzzy #incremental #mining

An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams (TW, ZL, YY, HC), pp. 91–103.

MLDM-2007-WangXC #approach #classification #mining #novel

A Novel Rule Ordering Approach in Classification Association Rule Mining (YJW, QX, FC), pp. 339–348.

RecSys-2007-SandvigMB #collaboration #mining #recommendation #robust

Robustness of collaborative recommendation based on association rule mining (JJS, BM, RDB), pp. 105–112.

SIGIR-2007-DingL #mining

The utility of linguistic rules in opinion mining (XD, BL), pp. 811–812.

SAC-2007-CaldersGM #mining

Mining itemsets in the presence of missing values (TC, BG, MM), pp. 404–408.

SAC-2007-FattaF #data mining #distributed #mining #multi

A customizable multi-agent system for distributed data mining (GDF, GF), pp. 42–47.

SAC-2007-HwangY #mining #ranking

Mining and processing category ranking (SwH, HY), pp. 441–442.

SAC-2007-KimHK #approach #folksonomy #mining

FCA-based approach for mining contextualized folksonomy (HLK, ShH, HGK), pp. 1340–1345.

SAC-2007-Knijf #mining #named

FAT-miner: mining frequent attribute trees (JDK), pp. 417–422.

SAC-2007-LinL #mining #privacy #transaction

Privacy preserving itemset mining through fake transactions (JLL, JYCL), pp. 375–379.

SAC-2007-TengC #community #mining #mobile

Mining communities of acquainted mobile users on call detail records (WGT, MCC), pp. 957–958.

SAC-2007-XiongCL #classification #database #mining #multi #using

Mining multiple private databases using a kNN classifier (LX, SC, LL), pp. 435–440.

ESEC-FSE-2007-AcharyaXPX #api #mining #partial order #source code #specification

Mining API patterns as partial orders from source code: from usage scenarios to specifications (MA, TX, JP, JX), pp. 25–34.

ESEC-FSE-2007-ChristodorescuJK #behaviour #mining #specification

Mining specifications of malicious behavior (MC, SJ, CK), pp. 5–14.

ICSE-2007-GanapathyKJJ #concept analysis #legacy #mining #using

Mining Security-Sensitive Operations in Legacy Code Using Concept Analysis (VG, DK, TJ, SJ), pp. 458–467.

PPoPP-2007-BuehrerPTKS #architecture #mining #towards

Toward terabyte pattern mining: an architecture-conscious solution (GB, SP, ST, TMK, JHS), pp. 2–12.

ISSTA-2007-ShohamYFP #abstraction #mining #specification #using

Static specification mining using automata-based abstractions (SS, EY, SF, MP), pp. 174–184.

ASE-2006-BreuZ #aspect-oriented #mining #version control

Mining Aspects from Version History (SB, TZ), pp. 221–230.

DAC-2006-WuH #bound #constraints #equivalence #mining

Mining global constraints for improving bounded sequential equivalence checking (WW, MSH), pp. 743–748.

DocEng-2006-ZeridaLC #mining

Combining linguistic and structural descriptors for mining biomedical literature (NZ, NL, BC), pp. 62–64.

HT-2006-KazienkoP #assessment #mining #web

Hyperlink assessment based on web usage mining (PK, MP), pp. 85–88.

SIGMOD-2006-BorgwardtBK #graph #mining #named #visual notation

VGM: visual graph mining (KMB, SB, HPK), pp. 733–735.

VLDB-2006-JiTT #3d #dataset #mining

Mining Frequent Closed Cubes in 3D Datasets (LJ, KLT, AKHT), pp. 811–822.

VLDB-2006-Keogh #database #mining #scalability

A Decade of Progress in Indexing and Mining Large Time Series Databases (EJK), p. 1268.

VLDB-2006-LeglerLR #data mining #mining

Data Mining with the SAP Netweaver BI Accelerator (TL, WL, AR), pp. 1059–1068.

VLDB-2006-RodriguesTTFL #graph #interactive #mining #named #scalability #visualisation

GMine: A System for Scalable, Interactive Graph Visualization and Mining (JFRJ, HT, AJMT, CF, JL), pp. 1195–1198.

VLDB-2006-SteinleAGL #dependence #generative #mining #novel

Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation (MS, KA, SG, CL), pp. 1093–1102.

ITiCSE-2006-MarkovR #data mining #mining

An introduction to the WEKA data mining system (ZM, IR), pp. 367–368.

ICPC-2006-SafyallahS #dynamic analysis #execution #mining #using

Dynamic Analysis of Software Systems using Execution Pattern Mining (HS, KS), pp. 84–88.

ICSM-2006-Hassan #developer #mining #repository

Mining Software Repositories to Assist Developers and Support Managers (AEH), pp. 339–342.

MSR-2006-BirdGDGS #email #mining #network #social

Mining email social networks (CB, AG, PTD, MG, AS), pp. 137–143.

MSR-2006-BirdGDGS06a #email #mining #network #social

Mining email social networks in Postgres (CB, AG, PTD, MG, AS), pp. 185–186.

MSR-2006-BreuZL #eclipse #mining

Mining eclipse for cross-cutting concerns (SB, TZ, CL), pp. 94–97.

MSR-2006-HammoudaK #mining #repository

Concern based mining of heterogeneous software repositories (IH, KK), pp. 80–86.

MSR-2006-KagdiYM #mining #sequence #version control

Mining sequences of changed-files from version histories (HHK, SY, JIM), pp. 47–53.

MSR-2006-KimZKHMGPWZ #mining #named #repository

TA-RE: an exchange language for mining software repositories (SK, TZ, MK, AEH, AM, TG, MP, EJWJ, AZ), pp. 22–25.

MSR-2006-RoblesGMA #evolution #mining #scalability

Mining large software compilations over time: another perspective of software evolution (GR, JMGB, MM, JJA), pp. 3–9.

MSR-2006-VoineaT06a #mining #repository

Mining software repositories with CVSgrab (LV, ACT), pp. 167–168.

MSR-2006-WeissgerberDG #mining #refactoring

Mining refactorings in ARGOUML (PW, SD, CG), pp. 175–176.

MSR-2006-XieP #api #mining #named #open source #repository

MAPO: mining API usages from open source repositories (TX, JP), pp. 54–57.

MSR-2006-YangR #architecture #evolution #mining

Scenarios for mining the software architecture evolution (YY, CR), pp. 10–13.

MSR-2006-ZimmermannBLL #mining

Mining additions of method calls in ArgoUML (TZ, SB, CL, VBL), pp. 169–170.

MSR-2006-ZimmermannKZW #mining

Mining version archives for co-changed lines (TZ, SK, AZ, EJWJ), pp. 72–75.

WCRE-2006-Krinke #control flow #graph #mining

Mining Control Flow Graphs for Crosscutting Concerns (JK), pp. 334–342.

WCRE-2006-MarinMD #framework #mining

A common framework for aspect mining based on crosscutting concern sorts (MM, LM, AvD), pp. 29–38.

WCRE-2006-MarinMD06a #mining #named #tool support

FINT: Tool Support for Aspect Mining (MM, LM, AvD), pp. 299–300.

ICEIS-AIDSS-2006-BoudjeloudP #data mining #interactive #mining

Semi Interactive Method for Data Mining (LB, FP), pp. 3–10.

ICEIS-AIDSS-2006-GollerHS #algorithm #data mining #mining

Beneficial Sequential Combination of Data Mining Algorithms (MG, MH, MS), pp. 135–143.

ICEIS-AIDSS-2006-PintoGS #data mining #database #mining #paradigm

Data Mining as a New Paradigm for Business Intelligence in Database Marketing Projects (FMP, PG, MFS), pp. 144–149.

ICEIS-HCI-2006-BadjioP #analysis #data mining #mining #process #visual notation

Context of Use Analysis — Activity Checklist for Visual Data Mining (EPFB, FP), pp. 45–50.

ICEIS-ISAS-2006-DaoHHRV #abstraction #mining #modelling #tool support #towards #uml

Towards Practical Tools for Mining Abstractions in UML Models (MD, MH, MRH, CR, PV), pp. 276–283.

CIKM-2006-GonzalezHL #mining #set #workflow

Mining compressed commodity workflows from massive RFID data sets (HG, JH, XL), pp. 162–171.

CIKM-2006-HuangTOC #mining #on the

On progressive sequential pattern mining (JWH, CYT, JCO, MSC), pp. 850–851.

CIKM-2006-HuZZ #array #clustering #identification #integration #mining

Integration of cluster ensemble and EM based text mining for microarray gene cluster identification and annotation (XH, XZ, XZ), pp. 824–825.

CIKM-2006-KapoorPTT #database #distributed #mining #privacy

Privacy preserving sequential pattern mining in distributed databases (VK, PP, FT, MT), pp. 758–767.

CIKM-2006-KimC #concept #mining #named #similarity #taxonomy

CP/CV: concept similarity mining without frequency information from domain describing taxonomies (JWK, KSC), pp. 483–492.

CIKM-2006-KunkleZC #mining #performance

Efficient mining of max frequent patterns in a generalized environment (DK, DZ, GC), pp. 810–811.

CIKM-2006-QamraTC #clustering #mining #using

Mining blog stories using community-based and temporal clustering (AQ, BLT, EYC), pp. 58–67.

CIKM-2006-TatikondaPK #algorithm #mining

TRIPS and TIDES: new algorithms for tree mining (ST, SP, TMK), pp. 455–464.

CIKM-2006-ZhangW #array #mining

Mining coherent patterns from heterogeneous microarray data (XZ, WW), pp. 838–839.

CIKM-2006-ZhuangJZ #bibliography #mining #summary

Movie review mining and summarization (LZ, FJ, XZ), pp. 43–50.

ICML-2006-TsudaK #clustering #graph #mining

Clustering graphs by weighted substructure mining (KT, TK), pp. 953–960.

ICPR-v1-2006-BethelHG #mining

Mining for Implications in Medical Data (CLB, LOH, DBG), pp. 1212–1215.

ICPR-v1-2006-CantoniLL #challenge #data mining #distributed #mining #network

Challenges for Data Mining in Distributed Sensor Networks (VC, LL, PL), pp. 1000–1007.

ICPR-v2-2006-BhuiyanN #classification #detection #image #using

Anti-personnel Mine Detection and Classification Using GPR Image (AB, BN), pp. 1082–1085.

ICPR-v2-2006-YuW06b #mining #nondeterminism

Mining Uncertain Data in Low-dimensional Subspace (ZY, HSW), pp. 748–751.

ICPR-v3-2006-NockLS #incremental #mining #statistics

Statistical Borders for Incremental Mining (RN, PAL, JES), pp. 212–215.

ICPR-v3-2006-VilchesEVT #data mining #mining #recognition

Data Mining Applied to Acoustic Bird Species Recognition (EV, IAE, EEV, CET), pp. 400–403.

ICPR-v3-2006-ZhouK #detection #mining #multi #video

Unusual Event Detection via Multi-camera Video Mining (HZ, DK), pp. 1161–1166.

KDD-2006-AggarwalPZ #data mining #mining #on the #privacy

On privacy preservation against adversarial data mining (CCA, JP, BZ), pp. 510–516.

KDD-2006-AgichteinZ #behaviour #identification #mining #web

Identifying “best bet” web search results by mining past user behavior (EA, ZZ), pp. 902–908.

KDD-2006-BuehrerPG #mining

Out-of-core frequent pattern mining on a commodity PC (GB, SP, AG), pp. 86–95.

KDD-2006-CaldersGJ #mining #set

Mining rank-correlated sets of numerical attributes (TC, BG, SJ), pp. 96–105.

KDD-2006-CaruanaEMRSFHK #mining #predict

Mining citizen science data to predict orevalence of wild bird species (RC, MFE, AM, MR, DS, DF, WMH, SK), pp. 909–915.

KDD-2006-Cavaretta #challenge #data mining #mining

Data mining challenges in the automotive domain (MC), p. 836.

KDD-2006-FormanKS #mining

Pragmatic text mining: minimizing human effort to quantify many issues in call logs (GF, EK, JS), pp. 852–861.

KDD-2006-GionisMMT #data mining #mining

Assessing data mining results via swap randomization (AG, HM, TM, PT), pp. 167–176.

KDD-2006-GuoV #mining #multi #relational #validation

Mining relational data through correlation-based multiple view validation (HG, HLV), pp. 567–573.

KDD-2006-HashimotoAUKM #mining #order #performance #probability

A new efficient probabilistic model for mining labeled ordered trees (KH, KFAK, NU, MK, HM), pp. 177–186.

KDD-2006-HettichP #lessons learnt #mining

Mining for proposal reviewers: lessons learned at the national science foundation (SH, MJP), pp. 862–871.

KDD-2006-HorvathRW #graph #mining

Frequent subgraph mining in outerplanar graphs (TH, JR, SW), pp. 197–206.

KDD-2006-JiangG #data type #mining #named

CFI-Stream: mining closed frequent itemsets in data streams (NJ, LG), pp. 592–597.

KDD-2006-KeCN #approach #correlation #mining #using

Mining quantitative correlated patterns using an information-theoretic approach (YK, JC, WN), pp. 227–236.

KDD-2006-LingSBM #development #mining

Maximum profit mining and its application in software development (CXL, VSS, TFWB, NHM), pp. 929–934.

KDD-2006-LoekitoB #diagrams #mining #performance #using

Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams (EL, JB), pp. 307–316.

KDD-2006-ManiyarN #algorithm #data mining #mining #using #visual notation #visualisation

Visual data mining using principled projection algorithms and information visualization techniques (DMM, ITN), pp. 643–648.

KDD-2006-McCallum #data mining #information management #mining

Information extraction, data mining and joint inference (AM), p. 835.

KDD-2006-MeiZ #mining

A mixture model for contextual text mining (QM, CZ), pp. 649–655.

KDD-2006-MierswaWKSE #agile #data mining #mining #named #prototype

YALE: rapid prototyping for complex data mining tasks (IM, MW, RK, MS, TE), pp. 935–940.

KDD-2006-Morchen #algorithm #mining

Algorithms for time series knowledge mining (FM), pp. 668–673.

KDD-2006-PalatinLSW #grid #mining

Mining for misconfigured machines in grid systems (NP, AL, AS, RW), pp. 687–692.

KDD-2006-PanGBXTF #automation #image #mining

Automatic mining of fruit fly embryo images (JYP, AGRB, EPX, AJMT, CF), pp. 693–698.

KDD-2006-Piatetsky-ShapiroGDFGZ #challenge #data mining #mining #question

Is there a grand challenge or X-prize for data mining? (GPS, RG, CD, RF, LG, MJZ), pp. 954–956.

KDD-2006-TanSZ #mining

Mining long-term search history to improve search accuracy (BT, XS, CZ), pp. 718–723.

KDD-2006-TaoXZ #database #metric #mining #scalability

Mining distance-based outliers from large databases in any metric space (YT, XX, SZ), pp. 394–403.

KDD-2006-WangYPYY #concept #data type #mining

Suppressing model overfitting in mining concept-drifting data streams (HW, JY, JP, PSY, JXY), pp. 736–741.

KDD-2006-ZhangHL #mining

Mining progressive confident rules (MZ, WH, MLL), pp. 803–808.

KDD-2006-ZhaoLBX #data mining #identification #mining

Opportunity map: identifying causes of failure — a deployed data mining system (KZ, BL, JB, WX), pp. 892–901.

KDD-2006-ZhaoZR #framework #mining #named

BLOSOM: a framework for mining arbitrary boolean expressions (LZ, MJZ, NR), pp. 827–832.

SEKE-2006-BogornyEA #framework #mining #named #preprocessor

GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining (VB, PME, LOA), pp. 79–84.

SEKE-2006-CazellaA #architecture #data mining #mining #multi #recommendation #research

An architecture based on multi-agent system and data mining for recommending research papers and researchers (SCC, LOCA), pp. 67–72.

SEKE-2006-GaaloulG #analysis #mining #statistics #workflow

A Workflow Mining Tool based on Logs Statistical Analysis (WG, CG), pp. 595–600.

SEKE-2006-HungL #data mining #mining #performance #using

Using Data Mining Schemes for Improvement on System Performance in Virtual Environments (SSH, DSML), pp. 61–66.

SEKE-2006-SartipiS #analysis #concept #evaluation #execution #mining

Application of Execution Pattern Mining and Concept Lattice Analysis on Software Structure Evaluation (KS, HS), pp. 302–308.

SIGIR-2006-SunOC #dependence #mining #query #retrieval

Mining dependency relations for query expansion in passage retrieval (RS, CHO, TSC), pp. 382–389.

OOPSLA-2006-SahavechaphanC #mining #named

XSnippet: mining For sample code (NS, KTC), pp. 413–430.

SAC-2006-AbidinP #classification #data mining #mining #named #nearest neighbour #performance #scalability

SMART-TV: a fast and scalable nearest neighbor based classifier for data mining (TA, WP), pp. 536–540.

SAC-2006-FengQWZ #mining #query #xml

Exploit sequencing to accelerate hot XML query pattern mining (JF, QQ, JW, LZ), pp. 517–524.

SAC-2006-GamaP #data mining #data type #mining

Discretization from data streams: applications to histograms and data mining (JG, CP), pp. 662–667.

SAC-2006-GiannottiNPP #mining #sequence

Mining sequences with temporal annotations (FG, MN, DP, FP), pp. 593–597.

SAC-2006-GuoW #data mining #mining #on the #privacy

On the use of spectral filtering for privacy preserving data mining (SG, XW), pp. 622–626.

SAC-2006-MaC #algorithm #array #data mining #mining #network #novel

A novel data mining algorithm for reconstructing gene regulatory networks from microarray data (PCHM, KCCC), pp. 202–203.

SAC-2006-TsengCL #e-commerce #mining #navigation #personalisation #predict

Mining and prediction of temporal navigation patterns for personalized services in e-commerce (VST, JCC, KWL), pp. 867–871.

SAC-2006-WuH #interactive #mining #network

Mining and analyzing the topological structure of protein-protein interaction networks (DDW, XH), pp. 185–189.

SAC-2006-ZhouHCPB #mining

Approaches to text mining for clinical medical records (XZ, HH, IC, AP, ADB), pp. 235–239.

ICSE-2006-NagappanBZ #component #metric #mining #predict

Mining metrics to predict component failures (NN, TB, AZ), pp. 452–461.

ICSE-2006-YangEBBD #api #mining #named

Perracotta: mining temporal API rules from imperfect traces (JY, DE, DB, TB, MD), pp. 282–291.

HPCA-2006-JaleelMJ #case study #data mining #mining #parallel #performance

Last level cache (LLC) performance of data mining workloads on a CMP — a case study of parallel bioinformatics workloads (AJ, MM, BLJ), pp. 88–98.

HPDC-2006-CieslakTC #data mining #distributed #mining

Troubleshooting Distributed Systems via Data Mining (DAC, DT, NVC), pp. 309–312.

HPDC-2006-DuanPF #data mining #detection #fault #grid #predict

Data Mining-based Fault Prediction and Detection on the Grid (RD, RP, TF), pp. 305–308.

ASE-2005-DenmatDR #data mining #execution #mining

Data mining and cross-checking of execution traces: a re-interpretation of Jones, Harrold and Stasko test information (TD, MD, OR), pp. 396–399.

ASE-2005-ShepherdPPC #analysis #automation #framework #mining #named

Timna: a framework for automatically combining aspect mining analyses (DCS, JP, LLP, MCC), pp. 184–193.

PODS-2005-CormodeM #mining #multi #performance

Space efficient mining of multigraph streams (GC, SM), pp. 271–282.

PODS-2005-LiLWFT #data mining #mining #perspective

Relative risk and odds ratio: a data mining perspective (HL, JL, LW, MF, YPT), pp. 368–377.

SIGMOD-2005-CongTTX #mining

Mining Top-k Covering Rule Groups for Gene Expression Data (GC, KLT, AKHT, XX), pp. 670–681.

SIGMOD-2005-GovindarajuRM #approximate #mining #performance #using

Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors (NKG, NR, DM), pp. 611–622.

SIGMOD-2005-LuoTWZ #data type #mining #sql

A native extension of SQL for mining data streams (CL, HT, HW, CZ), pp. 873–875.

SIGMOD-2005-SakuraiPF #correlation #mining #named

BRAID: Stream Mining through Group Lag Correlations (YS, SP, CF), pp. 599–610.

SIGMOD-2005-WangWZSPYH #database #graph #named #scalability

GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications (WW, CW, YZ, BS, JP, XY, JH), pp. 879–881.

SIGMOD-2005-ZhangKCY #mining #sequence

Mining Periodic Patterns with Gap Requirement from Sequences (MZ, BK, DWLC, KYY), pp. 623–633.

SIGMOD-2005-ZhaoZ #3d #algorithm #array #clustering #effectiveness #mining #named

TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data (LZ, MJZ), pp. 694–705.

VLDB-2005-ChiWY #data type #mining #named

Loadstar: Load Shedding in Data Stream Mining (YC, HW, PSY), pp. 1303–1305.

VLDB-2005-CormodeMR #data type #mining

Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling (GC, SM, IR), pp. 25–36.

VLDB-2005-GhotingBPKNCD #mining

Cache-conscious Frequent Pattern Mining on a Modern Processor (AG, GB, SP, DK, ADN, YKC, PD), pp. 577–588.

VLDB-2005-XinHYC #mining #set

Mining Compressed Frequent-Pattern Sets (DX, JH, XY, HC), pp. 709–720.

ITiCSE-2005-Roiger #data mining #education #mining

Teaching an introductory course in data mining (RJR), p. 415.

TACAS-2005-WeimerN #detection #fault #mining #specification

Mining Temporal Specifications for Error Detection (WW, GCN), pp. 461–476.

ICSM-2005-FerencBFL #design pattern #machine learning #mining

Design Pattern Mining Enhanced by Machine Learning (RF, ÁB, LJF, JL), pp. 295–304.

IWPC-2005-CeccatoMMMTT #comparison #mining

A Qualitative Comparison of Three Aspect Mining Techniques (MC, MM, KM, LM, PT, TT), pp. 13–22.

MSR-2005-AntoniolRV #linear #mining #predict #repository

Linear predictive coding and cepstrum coefficients for mining time variant information from software repositories (GA, VFR, GV), pp. 61–65.

MSR-2005-FischerORG #evolution #mining #product line

Mining evolution data of a product family (MF, JO, JR, HCG), pp. 36–40.

MSR-2005-GermanCS #comprehension #development #framework #mining #tool support

A framework for describing and understanding mining tools in software development (DMG, DC, MADS), pp. 31–35.

MSR-2005-HayesDS #feedback #how #mining #re-engineering

Text mining for software engineering: how analyst feedback impacts final results (JHH, AD, SKS), pp. 56–60.

MSR-2005-HuangL #learning #mining #process #verification #version control

Mining version histories to verify the learning process of Legitimate Peripheral Participants (SKH, KmL), pp. 21–25.

MSR-2005-KagdiCM #mining #repository #source code #taxonomy #towards

Towards a taxonomy of approaches for mining of source code repositories (HHK, MLC, JIM), pp. 26–30.

MSR-2005-MierleLRW #cvs #mining #performance #repository #student

Mining student CVS repositories for performance indicators (KM, KL, STR, GW), pp. 105–109.

MSR-2005-OhbaG #concept #identifier #keyword #mining #scalability #towards

Toward mining “concept keywords” from identifiers in large software projects (MO, KG), pp. 11–15.

MSR-2005-SpaccoSHP #automation #mining #programming #repository #testing

Software repository mining with Marmoset: an automated programming project snapshot and testing system (JS, JS, DH, WP), pp. 46–50.

MSR-2005-VanHilstGL #mining #process #repository

Repository mining and Six Sigma for process improvement (MVH, PKG, CL), pp. 101–104.

MSR-2005-YingWA #eclipse #mining #repository #source code

Source code that talks: an exploration of Eclipse task comments and their implication to repository mining (ATTY, JLW, SA), pp. 91–95.

SCAM-2005-Breu #mining

Extending Dynamic Aspect Mining with Static Information (SB), pp. 57–65.

PLDI-2005-MandelinXBK #api #mining

Jungloid mining: helping to navigate the API jungle (DM, LX, RB, DK), pp. 48–61.

SOFTVIS-2005-BurchDW #data mining #mining #visual notation

Visual data mining in software archives (MB, SD, PW), pp. 37–46.

ICEIS-v2-2005-DoP #dataset #mining #scalability #visualisation

Mining Very Large Datasets with SVM and Visualization (TND, FP), pp. 127–141.

ICEIS-v2-2005-KianmehrZNOA #approach #data mining #mining #network

Combining Neural Network and Support Vector Machine into Integrated Approach for Biodata Mining (KK, HZ, KN, TÖ, RA), pp. 182–187.

ICEIS-v2-2005-KumarKDB #clustering #mining #using #web

Web Usage Mining Using Rough Agglomerative Clustering (PK, PRK, SKD, RSB), pp. 315–320.

ICEIS-v2-2005-SantosPS #clustering #data mining #framework #mining #modelling

A Cluster Framework for Data Mining Models — An Application to Intensive Medicine (MFS, JP, ÁMS), pp. 163–168.

ICEIS-v3-2005-EspositoMORS #data mining #detection #mining #novel #realtime

Real Time Detection of Novel Attacks by Means of Data Mining Techniques (ME, CM, FO, SPR, CS), pp. 120–127.

ICEIS-v5-2005-BadjioP #data mining #metric #mining #quality #tool support #visual notation

Visual Data Mining Tools: Quality Metrics Definition and Application (EPFB, FP), pp. 98–103.

CIKM-2005-Ahonen-Myka #mining #sequence #set #word

Mining all maximal frequent word sequences in a set of sentences (HAM), pp. 255–256.

CIKM-2005-CarinoJLWY #machine learning #mining #web

Mining officially unrecognized side effects of drugs by combining web search and machine learning (CC, YJ, BL, PMW, CTY), pp. 365–372.

CIKM-2005-HuangLH #approach #distributed #mining #permutation

A new permutation approach for distributed association rule mining (YH, ZL, HH), pp. 351–352.

CIKM-2005-HuYSZS #mining #semantics

Mining undiscovered public knowledge from complementary and non-interactive biomedical literature through semantic pruning (XH, IY, MS, YZ, IYS), pp. 249–250.

CIKM-2005-KumamotoT #mining #people #web

Web opinion poll: extracting people’s view by impression mining from the web (TK, KT), pp. 265–266.

CIKM-2005-LiL #community #mining

Mining community structure of named entities from free text (XL, BL), pp. 275–276.

CIKM-2005-LiuZ #mining #relational #xml

Relational computation for mining association rules from XML data (HCL, JZ), pp. 253–254.

CIKM-2005-WangHL #database #framework #mining

A framework for mining topological patterns in spatio-temporal databases (JW, WH, MLL), pp. 429–436.

CIKM-2005-ZhaoBG #mining #query #xml

Mining conserved XML query paths for dynamic-conscious caching (QZ, SSB, LG), pp. 219–220.

ECIR-2005-Baeza-Yates #mining #query #web

Applications of Web Query Mining (RABY), pp. 7–22.

KDD-2005-BesemannD #integration #markov #mining

Integration of profile hidden Markov model output into association rule mining (CB, AD), pp. 538–543.

KDD-2005-ChenW #mining #web

Web mining from competitors’ websites (XC, YfBW), pp. 550–555.

KDD-2005-CongHP #mining #parallel

Parallel mining of closed sequential patterns (SC, JH, DAP), pp. 562–567.

KDD-2005-FanLH #image #learning #mining #semantics #statistics

Mining images on semantics via statistical learning (JF, HL, MSH), pp. 22–31.

KDD-2005-Fulgoni #internet #mining

Mining the internet: the eighth wonder of the world (GF), p. 2.

KDD-2005-GoethalsHB #graph #mining #query

Mining tree queries in a graph (BG, EH, JVdB), pp. 61–69.

KDD-2005-JinSA #information management #mining #optimisation

Simultaneous optimization of complex mining tasks with a knowledgeable cache (RJ, KS, GA), pp. 600–605.

KDD-2005-KalosR #data mining #industrial #mining

Data mining in the chemical industry (ANK, TR), pp. 763–769.

KDD-2005-KoppelSZ #fault #mining

Determining an author’s native language by mining a text for errors (MK, JS, KZ), pp. 624–628.

KDD-2005-LiFHCJMWSK #mining

Mining risk patterns in medical data (JL, AWCF, HH, JC, HJ, DM, GJW, RS, CK), pp. 770–775.

KDD-2005-LiLMP #framework #mining

An integrated framework on mining logs files for computing system management (TL, FL, SM, WP), pp. 776–781.

KDD-2005-MeiZ #mining

Discovering evolutionary theme patterns from text: an exploration of temporal text mining (QM, CZ), pp. 198–207.

KDD-2005-MorinagaAISA #dependence #mining #semantics

Key semantics extraction by dependency tree mining (SM, HA, TI, YS, SA), pp. 666–671.

KDD-2005-NasraouiCR #metric #mining #retrieval #similarity #using #web

Using retrieval measures to assess similarity in mining dynamic web clickstreams (ON, CC, CR), pp. 439–448.

KDD-2005-PeiJZ #clique #mining #on the

On mining cross-graph quasi-cliques (JP, DJ, AZ), pp. 228–238.

KDD-2005-Petrushin #mining #multi #self #using #video

Mining rare and frequent events in multi-camera surveillance video using self-organizing maps (VAP), pp. 794–800.

KDD-2005-Scholz #mining

Sampling-based sequential subgroup mining (MS), pp. 265–274.

KDD-2005-SilvaZS #mining #probability #workflow

Probabilistic workflow mining (RBdAeS, JZ, JGS), pp. 275–284.

KDD-2005-TaoZ #corpus #integration #mining

Mining comparable bilingual text corpora for cross-language information integration (TT, CZ), pp. 691–696.

KDD-2005-YamanishiM #mining #monitoring #network

Dynamic syslog mining for network failure monitoring (KY, YM), pp. 499–508.

KDD-2005-YangPM #framework #mining

A generalized framework for mining spatio-temporal patterns in scientific data (HY, SP, SM), pp. 716–721.

KDD-2005-YanZH #constraints #graph #mining #relational

Mining closed relational graphs with connectivity constraints (XY, XJZ, JH), pp. 324–333.

KDD-2005-ZakiPAS #algorithm #category theory #clustering #dataset #effectiveness #mining #named

CLICKS: an effective algorithm for mining subspace clusters in categorical datasets (MJZ, MP, IA, TS), pp. 736–742.

KDD-2005-ZakiR #mining #reasoning #set #using

Reasoning about sets using redescription mining (MJZ, NR), pp. 364–373.

MLDM-2005-AdegoriteBKS #approach #mining

An Approach to Mining Picture Objects Based on Textual Cues (AIA, OAB, MSK, KBS), pp. 466–475.

MLDM-2005-BichindaritzA #concept #mining

Concept Mining for Indexing Medical Literature (IB, SA), pp. 682–691.

MLDM-2005-GillamA #mining

Pattern Mining Across Domain-Specific Text Collections (LG, KA), pp. 570–579.

MLDM-2005-KarrasMGO #mining

Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration (DAK, BGM, DGD, DvO), pp. 325–333.

MLDM-2005-KuhlmannVLT #data mining #mining #simulation

Data Mining on Crash Simulation Data (AK, RMV, CL, CAT), pp. 558–569.

MLDM-2005-MottlKSM #data mining #kernel #mining #multi

Principles of Multi-kernel Data Mining (VM, OK, OS, IBM), pp. 52–61.

MLDM-2005-PrayR #mining

Mining Expressive Temporal Associations from Complex Data (KAP, CR), pp. 384–394.

MLDM-2005-SharmaVTV #approach #database #mining #multi #novel

A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases (LKS, OPV, UST, RV), pp. 620–629.

MLDM-2005-VermaVV #approach #mining #using

Temporal Approach to Association Rule Mining Using T-Tree and P-Tree (KV, OPV, RV), pp. 651–659.

MLDM-2005-XiaWZL #data mining #mining #modelling #random

Mixture Random Effect Model Based Meta-analysis for Medical Data Mining (YX, SW, CZ, SL), pp. 630–640.

MLDM-2005-YeWWCHT #approach #mining

An Integrated Approach for Mining Meta-rules (FY, JW, SW, HC, TH, LT), pp. 549–557.

SEKE-2005-BogornyEA #data mining #framework #mining

A Reuse-based Spatial Data Preparation Framework for Data Mining (VB, PME, LOA), pp. 649–652.

SEKE-2005-ChanS #data mining #mining #rule-based

From Data to Knowledge: an Integrated Rule-Based Data Mining System (CCC, ZS), pp. 508–513.

SEKE-2005-HuangLF #automation #email #mining #query

A Chinese Text Mining Application: An Automatic Answer Reply to Customers’ E-mail Queries Model (JYH, HML, CLF), pp. 504–507.

SEKE-2005-LoYT #algorithm #mining #predict

Weighted Binary Sequential Mining Algorithm with Application to the Next-Day Appearance Prediction (SL, JY, FCT), pp. 783–782.

SIGIR-2005-MagalhaesR #concept #incremental #information management #mining #multi

Mining multimedia salient concepts for incremental information extraction (JM, SMR), pp. 641–642.

SIGIR-2005-SehgalS #mining #named

Manjal: a text mining system for MEDLINE (AKS, PS), p. 680.

SIGIR-2005-SherfeseeO #framework #mining #research #web

A web mining research platform (DS, NO), p. 682.

SIGIR-2005-ZhangHV #mining #query #web

Mining translations of OOV terms from the web through cross-lingual query expansion (YZ, FH, SV), pp. 669–670.

SAC-2005-AgyemangBA #mining #n-gram #using #web

Mining web content outliers using structure oriented weighting techniques and N-grams (MA, KB, RA), pp. 482–487.

SAC-2005-Casale #analysis #mining #network #performance #web

Combining queueing networks and web usage mining techniques for web performance analysis (GC), pp. 1699–1703.

SAC-2005-Morimoto #mining #transitive

Optimized transitive association rule: mining significant stopover between events (YM), pp. 543–544.

SAC-2005-RahalRPNPRV #biology #incremental #interactive #mining

Incremental interactive mining of constrained association rules from biological annotation data with nominal features (IR, DR, AP, HN, WP, RR, WVG), pp. 123–127.

SAC-2005-RahmanBA #approach #grid

Replica selection in grid environment: a data-mining approach (RMR, KB, RA), pp. 695–700.

SAC-2005-ShangS #database #mining #relational

Depth-first frequent itemset mining in relational databases (XS, KUS), pp. 1112–1117.

SAC-2005-SilvestriO #approximate #distributed #mining

Distributed approximate mining of frequent patterns (CS, SO), pp. 529–536.

SAC-2005-XuMY #concept #database #information management #mining #scalability

Mining concept associations for knowledge discovery in large textual databases (XX, MM, NY), pp. 549–550.

ESEC-FSE-2005-LivshitsZ #fault #mining #named

DynaMine: finding common error patterns by mining software revision histories (VBL, TZ), pp. 296–305.

PPoPP-2005-CongHHP #data mining #framework #mining #parallel

A sampling-based framework for parallel data mining (SC, JH, JH, DAP), pp. 255–265.

ICLP-2005-Saidi #bound #mining #process #using

Using CLP to Characterise Linguistic Lattice Boundaries in a Text Mining Process (ASS), pp. 418–420.

TLCA-2005-MatwinFHC #data mining #formal method #mining #privacy #using

Privacy in Data Mining Using Formal Methods (SM, APF, ITH, VC), pp. 278–292.

WICSA-2004-ZhuBJ #architecture #evaluation #mining

Mining Patterns to Support Software Architecture Evaluation (LZ, MAB, DRJ), pp. 25–36.

ASE-2004-BreuK #mining #using

Aspect Mining Using Event Traces (SB, JK), pp. 310–315.

ASE-2004-Kloukinas #realtime

Data-Mining Synthesised Schedulers for Hard Real-Time Systems (CK), pp. 14–23.

SIGMOD-2004-AndritsosMT #database #mining #scalability #set #tool support

Information-Theoretic Tools for Mining Database Structure from Large Data Sets (PA, RJM, PT), pp. 731–742.

SIGMOD-2004-CaiCPHWA #data type #mining #named

MAIDS: Mining Alarming Incidents from Data Streams (YDC, DC, GP, JH, MW, LA), pp. 919–920.

SIGMOD-2004-Faloutsos #mining

Indexing and Mining Streams (CF), p. 969.

VLDB-2004-AgrawalS #data mining #mining #question

Whither Data Mining? (RA, RS), p. 9.

VLDB-2004-Fan #classification #concept #data type #named

StreamMiner: A Classifier Ensemble-based Engine to Mine Concept-drifting Data Streams (WF), pp. 1257–1260.

VLDB-2004-JiangPZ #interactive #mining #named

GPX: Interactive Mining of Gene Expression Data (DJ, JP, AZ), pp. 1249–1252.

VLDB-2004-LinKLLN #database #mining #monitoring #named #visual notation

VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases (JL, EJK, SL, JPL, DMN), pp. 1269–1272.

VLDB-2004-XuCOTH #analysis #mining #semantics

Semantic Mining and Analysis of Gene Expression Data (XX, GC, BCO, KLT, AKHT), pp. 1261–1264.

VLDB-2004-YuCLZ #data type #mining #transaction

False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams (JXY, ZC, HL, AZ), pp. 204–215.

IWPC-2004-KanellopoulosT #c++ #clustering #comprehension #data mining #mining #source code

Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs (YK, CT), pp. 214–225.

SCAM-2004-TourweM #concept analysis #mining #using

Mining Aspectual Views using Formal Concept Analysis (TT, KM), pp. 97–106.

WCRE-2004-TonellaC #concept analysis #execution #mining

Aspect Mining through the Formal Concept Analysis of Execution Traces (PT, MC), pp. 112–121.

ICEIS-v1-2004-BouchouCAJL #mining #named #xml

XRM: An XML-Based Language for Rule Mining Systems (BB, AC, MHFA, TYJ, DL), pp. 441–446.

ICEIS-v1-2004-El-SonbatyK #algorithm #incremental #mining #performance

New Fast Algorithm for Incremental Mining of Association Rules (YES, RK), pp. 275–281.

ICEIS-v2-2004-BangDHD #concept #data mining #effectiveness #framework #knowledge base #mining #segmentation

Data Mining of CRM Knowledge Bases for Effective Market Segmentation: A Conceptual Framework (JB, ND, LH, RRD), pp. 335–342.

ICEIS-v2-2004-DangerRB #approach #mining #named

Objectminer: A New Approach for Mining Complex Objects (RD, JRS, RBL), pp. 42–47.

ICEIS-v2-2004-DoP #data mining #mining #tool support #towards #visualisation

Towards High Dimensional Data Mining with Boosting of PSVM and Visualization Tools (TND, FP), pp. 36–41.

ICEIS-v2-2004-DykC #education #mining #process #statistics

Warehousing and Mining of Higher Education Data by Means of Statistical Process Control (LVD, PC), pp. 110–115.

ICEIS-v2-2004-HamzaY #constraints #mining #regular expression #using

Mining Sequential Patterns with Regular Expression Constraints Using Sequential Pattern Tree (MH, KM, MY), pp. 116–121.

ICEIS-v2-2004-HuysmansMVB #mining #web

Web Usage Mining with Time Constrained Association Rules (JH, CM, JV, BB), pp. 343–348.

ICEIS-v2-2004-KooptiwootS #mining #set #using

Mining the Relationships in the Form of the Predisposing Factors and Coincident Factors Among Numerical Dynamic Attributes in Time Series Data Set by Using the Combination of Some Existing Techniques (SK, MAS), pp. 327–334.

ICEIS-v2-2004-KooptiwootS04a #idea #mining #set #using

Mining the Relationships in the Form of Predisposing Factor and Coincident Factor in Time Series Data Set by Using the Combination of some Existing Ideas with a new Idea from the Fact in the Chemical Reaction (SK, MAS), pp. 531–534.

ICEIS-v2-2004-KuusikLV #clique #data mining #mining

Data Mining: Pattern Mining as a Clique Extracting Task (RK, GL, LV), pp. 519–522.

ICEIS-v2-2004-MataRR #case study #data mining #development #mining

Applying Data Mining to Software Development Projects: A Case Study (JMV, JLÁM, JCRS, IR), pp. 54–60.

ICEIS-v2-2004-NairC #image

Linguistic Description of Patterns from Mined Images (HN, IC), pp. 77–83.

ICEIS-v2-2004-Poulet #data mining #mining #towards #visual notation

Towards Visual Data Mining (FP), pp. 349–356.

ICEIS-v2-2004-TagarelliTG #clustering #linear #mining #programming

Mining Scientific Results Through the Combined Use of Clustering and Linear Programming Techniques (AT, IT, SG), pp. 84–91.

ICEIS-v2-2004-UdechukwuBA #framework #mining #performance

An Efficient Framework for Iterative Time-Series Trend Mining (AU, KB, RA), pp. 130–137.

ICEIS-v2-2004-ZarateAPR #data mining #mining

Data Mining Application to Obtain Profiles of Patients with Nephrolithiasis (LEZ, PA, RP, TR), pp. 104–109.

ICEIS-v4-2004-LimaEMFC #data mining #information management #mining #web

Archcollect Front-End: A Web Usage Data Mining Knowledge Acquisition Mechanism Focused on Static or Dynamic Contenting Applications (JdCL, AAAE, JGdM, BF, TGdSC), pp. 258–262.

ICEIS-v5-2004-BadjioP #data mining #mining #tool support #usability #visual notation

Usability of Visual Data Mining Tools (EPFB, FP), pp. 254–258.

ICEIS-v5-2004-JantkeLGGTT #data mining #learning #mining

Learning by Doing and Learning when Doing: Dovetailing E-Learning and Decision Support with a Data Mining Tutor (KPJ, SL, GG, PAG, BT, BT), pp. 238–241.

CIKM-2004-ChungJM #clustering #dataset #mining #using

Mining gene expression datasets using density-based clustering (SC, JJ, DM), pp. 150–151.

CIKM-2004-Ramakrishnan #mining

The EDAM project: mining mass spectra and more (RR), p. 1.

CIKM-2004-WangXY #biology #mining #scalability #sequence

Scalable sequential pattern mining for biological sequences (KW, YX, JXY), pp. 178–187.

ICML-2004-NatteeSNO #first-order #learning #mining #multi

Learning first-order rules from data with multiple parts: applications on mining chemical compound data (CN, SS, MN, TO).

ICPR-v2-2004-BouchaffraT #concept #design #mining

Introduction to the Concept of Structural HMM: Application to Mining Customers’ Preferences in Automotive Design (DB, JT), pp. 493–496.

KDD-2004-AbajoDLC #case study #data mining #industrial #mining #modelling #quality

ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study (NdA, ABD, VL, SRC), pp. 799–804.

KDD-2004-AgichteinG #automation #mining #segmentation

Mining reference tables for automatic text segmentation (EA, VG), pp. 20–29.

KDD-2004-AksoyKTM #classification #image #interactive #mining

Interactive training of advanced classifiers for mining remote sensing image archives (SA, KK, CT, GBM), pp. 773–782.

KDD-2004-CaruanaN #analysis #data mining #empirical #learning #metric #mining #performance

Data mining in metric space: an empirical analysis of supervised learning performance criteria (RC, ANM), pp. 69–78.

KDD-2004-ChengYH #database #incremental #mining #named #scalability

IncSpan: incremental mining of sequential patterns in large database (HC, XY, JH), pp. 527–532.

KDD-2004-DavidsonGST #algorithm #approach #data mining #matrix #mining #quality

A general approach to incorporate data quality matrices into data mining algorithms (ID, AG, AS, GKT), pp. 794–798.

KDD-2004-EsterGJH #data mining #mining #problem #segmentation

A microeconomic data mining problem: customer-oriented catalog segmentation (ME, RG, WJ, ZH), pp. 557–562.

KDD-2004-Fan #concept #data type

Systematic data selection to mine concept-drifting data streams (WF), pp. 128–137.

KDD-2004-GadeWK #constraints #mining #performance

Efficient closed pattern mining in the presence of tough block constraints (KG, JW, GK), pp. 138–147.

KDD-2004-HeCH #approach #correlation #interface #mining #query #web

Discovering complex matchings across web query interfaces: a correlation mining approach (BH, KCCC, JH), pp. 148–157.

KDD-2004-Heckerman #data mining #mining #modelling #visual notation

Graphical models for data mining (DH), p. 2.

KDD-2004-HorvathGW #graph #kernel #mining #predict

Cyclic pattern kernels for predictive graph mining (TH, TG, SW), pp. 158–167.

KDD-2004-HuanWPY #database #graph #mining #named

SPIN: mining maximal frequent subgraphs from graph databases (JH, WW, JP, JY), pp. 581–586.

KDD-2004-HuL #mining

Mining and summarizing customer reviews (MH, BL), pp. 168–177.

KDD-2004-JehW #graph #mining

Mining the space of graph properties (GJ, JW), pp. 187–196.

KDD-2004-JiangPRTZ #array #clustering #mining

Mining coherent gene clusters from gene-sample-time microarray data (DJ, JP, MR, CT, AZ), pp. 430–439.

KDD-2004-JinZM #analysis #mining #probability #semantics #web

Web usage mining based on probabilistic latent semantic analysis (XJ, YZ, BM), pp. 197–205.

KDD-2004-KantarciogluJC #data mining #mining #privacy #question

When do data mining results violate privacy? (MK, JJ, CC), pp. 599–604.

KDD-2004-KeoghLR #data mining #mining #towards

Towards parameter-free data mining (EJK, SL, C(R), pp. 206–215.

KDD-2004-LinKLLN #mining #monitoring #visual notation

Visually mining and monitoring massive time series (JL, EJK, SL, JPL, DMN), pp. 460–469.

KDD-2004-MamoulisCKHTC #mining #query

Mining, indexing, and querying historical spatiotemporal data (NM, HC, GK, MH, YT, DWC), pp. 236–245.

KDD-2004-NakataT #mining #predict

Mining traffic data from probe-car system for travel time prediction (TN, JiT), pp. 817–822.

KDD-2004-NatsevNS #mining #multi #representation #semantics

Semantic representation: search and mining of multimedia content (AN, MRN, JRS), pp. 641–646.

KDD-2004-NijssenK #difference #mining

A quickstart in frequent structure mining can make a difference (SN, JNK), pp. 647–652.

KDD-2004-RamakrishnanKMPH #algorithm #mining

Turning CARTwheels: an alternating algorithm for mining redescriptions (NR, DK, BM, MP, RFH), pp. 266–275.

KDD-2004-WangWPZS #database #graph #mining #scalability

Scalable mining of large disk-based graph databases (CW, WW, JP, YZ, BS), pp. 316–325.

KDD-2004-WuGH #clustering #mining #network #using

Mining scale-free networks using geodesic clustering (AYW, MG, JH), pp. 719–724.

KDD-2004-Yang #complexity #mining

The complexity of mining maximal frequent itemsets and maximal frequent patterns (GY), pp. 344–353.

KDD-2004-YangLHG #mining #named #performance #query #xml

2PXMiner: an efficient two pass mining of frequent XML query patterns (LHY, MLL, WH, XG), pp. 731–736.

KDD-2004-ZhaiVY #comparative #mining

A cross-collection mixture model for comparative text mining (CZ, AV, BY), pp. 743–748.

KDD-2004-ZhangMCS #mining #performance

Fast mining of spatial collocations (XZ, NM, DWC, YS), pp. 384–393.

KDD-2004-ZhangZK #approach #category theory #data mining #image #mining #modelling

A data mining approach to modeling relationships among categories in image collection (RZ, Z(Z, SK), pp. 749–754.

KDD-2004-ZhaoLTS #coordination #design #named #parallel #testing #using

V-Miner: using enhanced parallel coordinates to mine product design and test data (KZ, BL, TMT, AS), pp. 494–502.

KDD-2004-ZhuL #data mining #mining #privacy

Optimal randomization for privacy preserving data mining (MYZ, LL), pp. 761–766.

SEKE-2004-XingS #co-evolution #detection

Data-mining in Support of Detecting Class Co-evolution (ZX, ES), pp. 123–128.

SIGIR-2004-AeryC #classification #email #named

eMailSift: mining-based approaches to email classification (MA, SC), pp. 580–581.

SIGIR-2004-LamHC #learning #mining #similarity

Learning phonetic similarity for matching named entity translations and mining new translations (WL, RH, PSC), pp. 289–296.

SIGIR-2004-XuU #analysis #mining #ranking #web

A unified model of literal mining and link analysis for ranking web resources (YX, KU), pp. 546–547.

SAC-2004-AgyemangBA #framework #mining #web

Framework for mining web content outliers (MA, KB, RA), pp. 590–594.

SAC-2004-Goethals #memory management #mining

Memory issues in frequent itemset mining (BG), pp. 530–534.

SAC-2004-HuP #approach #data mining #database #detection #mining

A data mining approach for database intrusion detection (YH, BP), pp. 711–716.

SAC-2004-KusumuraHN #mining

Text mining agent for net auction (YK, YH, SN), pp. 1095–1102.

SAC-2004-OrlandoPS #algorithm #mining #sequence

A new algorithm for gap constrained sequence mining (SO, RP, CS), pp. 540–547.

SAC-2004-QiW #mining #set

A model for mining outliers from complex data sets (HQ, JW), pp. 595–599.

SAC-2004-Savinov #dependence #mining

Mining dependence rules by finding largest itemset support quota (AAS), pp. 525–529.

SAC-2004-ShangSG #generative #mining #sql

SQL based frequent pattern mining without candidate generation (XS, KUS, IG), pp. 618–619.

ICSE-2004-ZimmermannWDZ #mining #version control

Mining Version Histories to Guide Software Changes (TZ, PW, SD, AZ), pp. 563–572.

HPDC-2004-GilburdSW #data mining #mining #privacy

Privacy-Preserving Data Mining on Data Grids in the Presence of Malicious Participants (BG, AS, RW), pp. 225–234.

DRR-2003-YangL #image #mining #retrieval #semantics

Semantics-based image retrieval by text mining on environmental texts (HCY, CHL), pp. 266–277.

ICDAR-2003-Lin03a

Text-mining based journal splitting (XL), pp. 1075–1079.

PODS-2003-EvfimievskiGS #data mining #mining #privacy

Limiting privacy breaches in privacy preserving data mining (AVE, JG, RS), pp. 211–222.

PODS-2003-RameshMZ #data mining #mining #theory and practice

Feasible itemset distributions in data mining: theory and application (GR, WM, MJZ), pp. 284–295.

VLDB-2003-HinneburgLH #data mining #database #mining #named

COMBI-Operator: Database Support for Data Mining Applications (AH, WL, DH), pp. 429–439.

VLDB-2003-LubbersGJ #data mining #development #quality #tool support

Systematic Development of Data Mining-Based Data Quality Tools (DL, UG, MJ), pp. 548–559.

VLDB-2003-NieKH #effectiveness #integration #mining #named #statistics #using

BibFinder/StatMiner: Effectively Mining and Using Coverage and Overlap Statistics in Data Integration (ZN, SK, TH), pp. 1097–1100.

VLDB-2003-PapadimitriouBF #adaptation #mining

Adaptive, Hands-Off Stream Mining (SP, AB, CF), pp. 560–571.

VLDB-2003-TengCY #data type #mining

A Regression-Based Temporal Pattern Mining Scheme for Data Streams (WGT, MSC, PSY), pp. 93–104.

VLDB-2003-WangZL #data mining #data type #mining #named #sql

ATLAS: A Small but Complete SQL Extension for Data Mining and Data Streams (HW, CZ, CL), pp. 1113–1116.

VLDB-2003-YangLH #mining #performance #query #xml

Efficient Mining of XML Query Patterns for Caching (LHY, MLL, WH), pp. 69–80.

ICSM-2003-BalanyiF #c++ #design pattern #mining #source code

Mining Design Patterns from C++ Source Code (ZB, RF), pp. 305–314.

ICSM-2003-Sayyad-ShirabadLM #legacy #maintenance #mining

Mining the Maintenance History of a Legacy Software System (JSS, TCL, SM), pp. 95–104.

IWPC-2003-TjortjisSL #comprehension #mining #source code

Facilitating Program Comprehension by Mining Association Rules from Source Code (CT, LS, PJL), pp. 125–133.

EDOC-2003-SgottiRS #monitoring

A MOM-based Solution for Remote Monitoring of Equipment in Mines (VACS, NSR, WJdS), pp. 321–326.

ICEIS-v1-2003-WangH #database #scalability

Scanning a Large Database Once to Mine Association Rules (FW, NH), pp. 421–429.

ICEIS-v2-2003-DoP #algorithm #dataset #mining #scalability

Mining Very Large Datasets with Support Vector Machine Algorithms (TND, FP), pp. 140–147.

ICEIS-v2-2003-FernedaPS #mining

Text Mining for Organizational Intelligence (EF, HAdP, EMS), pp. 446–450.

ICEIS-v2-2003-GalianoCMSB #data mining #mining #usability

Usability Issues in Data Mining Systems (FBG, JCC, NM, JMS, IJB), pp. 418–421.

ICEIS-v2-2003-KrolikowskiMP #data mining #mining #query

Set-Oriented Indexes for Data Mining Queries (ZK, MM, JP), pp. 316–323.

ICEIS-v2-2003-KuusikL #approach #data mining #mining #using

An Approach of Data Mining Using Monotone Systems (RK, GL), pp. 482–485.

ICEIS-v2-2003-MaciasVSR #data mining #development #mining

A Data Mining Method to Support Decision Making in Software Development Projects (JLÁM, JMV, JCRS, IR), pp. 11–18.

ICEIS-v2-2003-PetitP #approach #data mining #mining

A New Approach of Data Mining: The Meta Projectories (CP, SP), pp. 515–518.

ICEIS-v2-2003-SaravananR #mining #summary

Text Summarization: An Upcoming Tool in Text Mining (MS, SR), pp. 541–544.

ICEIS-v2-2003-SrikumarB #algorithm #mining #set #transaction

An Algorithm for Mining Maximal Frequent Sets Based on Dominancy of Transactions (KS, BB), pp. 422–425.

ICEIS-v2-2003-WangRLC #mining #online #realtime #recommendation #web

Mining Web Usage Data for Real-Time Online Recommendation (MW, SJR, SYL, JKYC), pp. 575–578.

ICEIS-v3-2003-HoangHB #data mining #detection #mining

Intrusion Detection Based on Data Mining (XDH, JH, PB), pp. 341–346.

CIKM-2003-LinK #mining #using #web

Question answering from the web using knowledge annotation and knowledge mining techniques (JJL, BK), pp. 116–123.

CIKM-2003-SunL #mining #web

Web unit mining: finding and classifying subgraphs of web pages (AS, EPL), pp. 108–115.

CIKM-2003-TangZ #mining #multi

Mining multiple phenotype structures underlying gene expression profiles (CT, AZ), pp. 418–425.

KDD-2003-Aggarwal #data mining #design #distance #mining #towards

Towards systematic design of distance functions for data mining applications (CCA), pp. 9–18.

KDD-2003-ArgamonSS #mining #multi

Style mining of electronic messages for multiple authorship discrimination: first results (SA, MS, SSS), pp. 475–480.

KDD-2003-BayS #linear #mining

Mining distance-based outliers in near linear time with randomization and a simple pruning rule (SDB, MS), pp. 29–38.

KDD-2003-BhatnagarKN #classification #mining

Mining high dimensional data for classifier knowledge (RB, GK, WN), pp. 481–486.

KDD-2003-DuZ #data mining #mining #privacy #random #using

Using randomized response techniques for privacy-preserving data mining (WD, JZZ), pp. 505–510.

KDD-2003-El-HajjZ #dataset #interactive #matrix #mining #performance #scalability

Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining (MEH, ORZ), pp. 109–118.

KDD-2003-EtzioniTKY #mining

To buy or not to buy: mining airfare data to minimize ticket purchase price (OE, RT, CAK, AY), pp. 119–128.

KDD-2003-FramAD #data mining #empirical #mining #safety

Empirical Bayesian data mining for discovering patterns in post-marketing drug safety (DMF, JSA, WD), pp. 359–368.

KDD-2003-GamaRM #data type #mining #performance

Accurate decision trees for mining high-speed data streams (JG, RR, PM), pp. 523–528.

KDD-2003-HoNKLNYT #abstraction #mining

Mining hepatitis data with temporal abstraction (TBH, TDN, SK, SQL, DN, HY, KT), pp. 369–377.

KDD-2003-HsuDL #database #image #mining

Mining viewpoint patterns in image databases (WH, JD, MLL), pp. 553–558.

KDD-2003-LastFK #approach #automation #data mining #mining #testing

The data mining approach to automated software testing (ML, MF, AK), pp. 388–396.

KDD-2003-LiuGZ #mining #web

Mining data records in Web pages (BL, RLG, YZ), pp. 601–606.

KDD-2003-MorinagaYT #distributed #mining

Distributed cooperative mining for information consortia (SM, KY, JiT), pp. 619–624.

KDD-2003-SequeiraZSC #data mining #locality #mining #source code

Improving spatial locality of programs via data mining (KS, MJZ, BKS, CDC), pp. 649–654.

KDD-2003-TangZP #mining

Mining phenotypes and informative genes from gene expression data (CT, AZ, JP), pp. 655–660.

KDD-2003-TaoMF #framework #mining #using

Weighted Association Rule Mining using weighted support and significance framework (FT, FM, MMF), pp. 661–666.

KDD-2003-WangFYH #classification #concept #data type #mining #using

Mining concept-drifting data streams using ensemble classifiers (HW, WF, PSY, JH), pp. 226–235.

KDD-2003-WangHP #mining

CLOSET+: searching for the best strategies for mining frequent closed itemsets (JW, JH, JP), pp. 236–245.

KDD-2003-WangJL #mining

Mining unexpected rules by pushing user dynamics (KW, YJ, LVSL), pp. 246–255.

KDD-2003-WeissBKD #data mining #knowledge-based #mining

Knowledge-based data mining (SMW, SJB, SK, SD), pp. 456–461.

KDD-2003-YanH #graph #mining #named

CloseGraph: mining closed frequent graph patterns (XY, JH), pp. 286–295.

KDD-2003-YiLL #data mining #mining #web

Eliminating noisy information in Web pages for data mining (LY, BL, XL), pp. 296–305.

KDD-2003-ZakiG #mining #performance #using

Fast vertical mining using diffsets (MJZ, KG), pp. 326–335.

KDD-2003-ZhangSY #data mining #mining

Applying data mining in investigating money laundering crimes (Z(Z, JJS, PSY), pp. 747–752.

MLDM-2003-AntunesO #constraints #mining

Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints (CA, ALO), pp. 239–251.

MLDM-2003-Bunke #data mining #graph #machine learning #mining #tool support

Graph-Based Tools for Data Mining and Machine Learning (HB), pp. 7–19.

MLDM-2003-ChiuX #mining #optimisation

Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns (KCC, LX), pp. 266–275.

MLDM-2003-KayaA #mining

Integrating Fuzziness with OLAP Association Rules Mining (MK, RA), pp. 353–368.

MLDM-2003-LeleuRBE #dataset #mining #named

GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions (ML, CR, JFB, GE), pp. 293–306.

SEKE-2003-ChapinK #data mining #metric #mining #re-engineering

Validative measurement in software engineering: a data mining example (NC, MKM), pp. 626–633.

SEKE-2003-LaiLB #data access #database #mining #object-oriented

Mining Access Patterns for Enhancing Navigational Access in Object-Oriented Database (CL, SL, JB), pp. 679–684.

SEKE-2003-LaiSF #mining #realtime

Real-Time Mining of Partial Periodic Patterns (CL, LS, MF), pp. 259–266.

SEKE-2003-WuS #approach #data mining #mining

A Data Mining Approach for Dynamic Software Project Plan Tracking (CSW, DBS), pp. 634–638.

PADL-2003-ClareK #data mining #functional #lazy evaluation #mining

Data Mining the Yeast Genome in a Lazy Functional Language (AC, RDK), pp. 19–36.

PADL-2003-Page #biology #database #declarative #mining

The Role of Declarative Languages in Mining Biological Databases (CDPJ), p. 1.

SAC-2003-BarbaraLLJC #data mining #detection #mining

Bootstrapping a Data Mining Intrusion Detection System (DB, YL, JLL, SJ, JC), pp. 421–425.

SAC-2003-Ferrer-TroyanoAS #data type #mining #prototype

Prototype-based Mining of Numeric Data Streams (FJFT, JSAR, JCRS), pp. 480–484.

SAC-2003-HuaJVT #algebra #analysis #approach #data mining #mining #named #performance #using

ADMiRe: An Algebraic Approach to System Performance Analysis Using Data Mining Techniques (KAH, NJ, RV, DAT), pp. 490–496.

SAC-2003-HuangXSP #mining

Mining Confident Colocation Rules without A Support Threshold (YH, HX, SS, JP), pp. 497–501.

SAC-2003-JiaPP #constraints #mining

Tough Constraint-Based Frequent Closed Itemsets Mining (LJ, RP, DP), pp. 416–420.

SAC-2003-Lin #mining

Mining Maximal Frequent Intervals (JLL), pp. 426–431.

SAC-2003-LiZO #data mining #distributed #mining #modelling #similarity

A New Distributed Data Mining Model Based on Similarity (TL, SZ, MO), pp. 432–436.

SAC-2003-Meo #data mining #mining #optimisation

Optimization of a Language for Data Mining (RM), pp. 437–444.

SAC-2003-NenadicSA #mining

Terminology-driven Mining of Biomedical Literature (GN, IS, SA), pp. 83–87.

SAC-2003-TsengT #mining #mobile #performance #web

An Efficient Method for Mining Associated Service Patterns in Mobile Web Environments (SMT, CFT), pp. 455–459.

PPoPP-2003-Kazar #data mining #mining #performance #scalability

High performance spatial data mining for very large data-sets (BMK), p. 1.

DAC-2002-LiuSRC #data mining #design #megamodelling #mining #scalability

Remembrance of circuits past: macromodeling by data mining in large analog design spaces (HL, AS, RAR, LRC), pp. 437–442.

SIGMOD-2002-DasuJMS #database #how #mining #quality

Mining database structure; or, how to build a data quality browser (TD, TJ, SM, VS), pp. 240–251.

SIGMOD-2002-GarofalakisGR #data type #mining #query #tutorial

Querying and mining data streams: you only get one look a tutorial (MNG, JG, RR), p. 635.

SIGMOD-2002-YangWYH #mining

Mining long sequential patterns in a noisy environment (JY, WW, PSY, JH), pp. 406–417.

VLDB-2002-Chakrabarti #fine-grained #mining

Searching and Mining Fine-Grained Semi-Structured Data (SC).

VLDB-2002-Faloutsos #analysis #data mining #mining #similarity

Sensor Data Mining: Similarity Search and Pattern Analysis (CF).

VLDB-2002-GarofalakisG #data type #mining #query

Querying and Mining Data Streams: You Only Get One Look (MNG, JG).

VLDB-2002-OhuraTPK #internet #mining #query #using #web

Experiments on Query Expansion for Internet Yellow Page Services Using Web Log Mining (YO, KT, IP, MK), pp. 1008–1018.

VLDB-2002-RizviH #maintenance #mining #privacy

Maintaining Data Privacy in Association Rule Mining (SR, JRH), pp. 682–693.

IWPC-2002-El-RamlySS #case study #interactive #mining #modelling

Mining System-User Interaction Traces for Use Case Models (MER, ES, PGS), pp. 21–29.

ICALP-2002-Mannila #data mining #mining #problem

Local and Global Methods in Data Mining: Basic Techniques and Open Problems (HM), pp. 57–68.

ICEIS-2002-CarrascoMG #data mining #flexibility #mining #named #query

FSQL: A Flexible Query Language for Data Mining (RAC, MAVM, JG), pp. 50–56.

ICEIS-2002-KrishnaswamyLZ #data mining #distributed #mining #optimisation #predict #runtime

Supporting the Optimisation of Distributed Data Mining by Predicting Application Run Times (SK, SWL, ABZ), pp. 374–381.

ICEIS-2002-LiK #e-commerce #framework #mining

Intelligent Agent-Based Framework for Mining Customer Buying Habits in E-Commerce (QL, RK), pp. 1016–1022.

ICEIS-2002-MengYCC #data mining #information management #mining

Data Mining Mechanisms in Knowledge Management System (IHM, WPY, WCC, LPC), pp. 399–404.

ICEIS-2002-SanchezSVACD #data mining #mining #using

Using Data Mining Techniques to Analyze Correspondences between Partitions (DS, JMS, MAVM, VA, JC, GD), pp. 179–186.

ICEIS-2002-SantosNASR #classification #data mining #database #learning #mining #using

Augmented Data Mining over Clinical Databases Using Learning Classifier Systems (MFS, JN, AA, ÁMS, FR), pp. 512–516.

ICEIS-2002-TanTS #data mining #mining #parallel #performance #taxonomy

A Taxonomy for Inter-Model Parallelism in High Performance Data Mining (LT, DT, KAS), pp. 534–539.

CIKM-2002-Faloutsos #data mining #mining #network #self

Future directions in data mining: streams, networks, self-similarity and power laws (CF), p. 93.

CIKM-2002-KaoCLH #analysis #mining #web

Entropy-based link analysis for mining web informative structures (HYK, MSC, SHL, JMH), pp. 574–581.

CIKM-2002-MotoyoshiMW #mining

Mining temporal classes from time series data (MM, TM, KW), pp. 493–498.

CIKM-2002-NahmM #mining

Mining soft-matching association rules (UYN, RJM), pp. 681–683.

CIKM-2002-NieNVK #mining #statistics

Mining coverage statistics for websource selection in a mediator (ZN, UN, SV, SK), pp. 678–680.

CIKM-2002-PanF #data mining #library #mining #quote #video

“GeoPlot”: spatial data mining on video libraries (JYP, CF), pp. 405–412.

CIKM-2002-PeiHW #constraints #database #mining #scalability

Mining sequential patterns with constraints in large databases (JP, JH, WW), pp. 18–25.

ICML-2002-WuZZ #mining

Mining Both Positive and Negative Association Rules (XW, CZ, SZ), pp. 658–665.

ICPR-v2-2002-Gader #pattern matching #pattern recognition #recognition

Pattern Recognition for Humanitarian De-mining (PDG), pp. 521–522.

ICPR-v3-2002-HongH #mining #multimodal

Multimodal Temporal Pattern Mining (PH, TSH), pp. 465–472.

KDD-2002-Aggarwal02a #case study #collaboration #crawling #experience #mining #resource management #topic #user interface

Collaborative crawling: mining user experiences for topical resource discovery (CCA), pp. 423–428.

KDD-2002-AlqallafKMZ #correlation #data mining #mining #robust #scalability

Scalable robust covariance and correlation estimates for data mining (FAA, KPK, RDM, RHZ), pp. 14–23.

KDD-2002-AyresFGY #mining #representation #using

Sequential PAttern mining using a bitmap representation (JA, JF, JG, TY), pp. 429–435.

KDD-2002-El-RamlySS #approach #behaviour #mining #runtime

From run-time behavior to usage scenarios: an interaction-pattern mining approach (MER, ES, PGS), pp. 315–324.

KDD-2002-EsterKS #mining #web

Web site mining: a new way to spot competitors, customers and suppliers in the world wide web (ME, HPK, MS), pp. 249–258.

KDD-2002-EvfimievskiSAG #mining #privacy

Privacy preserving mining of association rules (AVE, RS, RA, JG), pp. 217–228.

KDD-2002-HultenD #constant #database #mining #modelling #scalability

Mining complex models from arbitrarily large databases in constant time (GH, PMD), pp. 525–531.

KDD-2002-JulischD #detection #mining

Mining intrusion detection alarms for actionable knowledge (KJ, MD), pp. 366–375.

KDD-2002-KeoghK #benchmark #bibliography #data mining #empirical #metric #mining #on the

On the need for time series data mining benchmarks: a survey and empirical demonstration (EJK, SK), pp. 102–111.

KDD-2002-LiangK #mining #network

Mining heterogeneous gene expression data with time lagged recurrent neural networks (YL, AK), pp. 415–421.

KDD-2002-LinLCY #data mining #database #distributed #mining #transaction

Distributed data mining in a chain store database of short transactions (CRL, CHL, MSC, PSY), pp. 576–581.

KDD-2002-LittleJLRS #data mining #mining

Collusion in the U.S. crop insurance program: applied data mining (BBL, WLJ, ACL, RMR, SAS), pp. 594–598.

KDD-2002-LiuL #adaptation #classification #documentation #incremental #mining

Incremental context mining for adaptive document classification (RLL, YLL), pp. 599–604.

KDD-2002-LiuPWH #mining #set

Mining frequent item sets by opportunistic projection (JL, YP, KW, JH), pp. 229–238.

KDD-2002-MorinagaYTF #mining #web

Mining product reputations on the Web (SM, KY, KT, TF), pp. 341–349.

KDD-2002-PalmerGF #data mining #graph #mining #named #performance #scalability

ANF: a fast and scalable tool for data mining in massive graphs (CRP, PBG, CF), pp. 81–90.

KDD-2002-RichardsonD #mining

Mining knowledge-sharing sites for viral marketing (MR, PMD), pp. 61–70.

KDD-2002-SequeiraZ #data mining #mining #named

ADMIT: anomaly-based data mining for intrusions (KS, MJZ), pp. 386–395.

KDD-2002-VaidyaC #mining #privacy

Privacy preserving association rule mining in vertically partitioned data (JV, CC), pp. 639–644.

KDD-2002-WuFS #approach #classification #data mining #mining #named

B-EM: a classifier incorporating bootstrap with EM approach for data mining (XW, JF, KRS), pp. 670–675.

KDD-2002-Zaki #mining

Efficiently mining frequent trees in a forest (MJZ), pp. 71–80.

SEKE-2002-PoleseTT #data mining #mining

A data mining based system supporting tactical decisions (GP, MT, GT), pp. 681–684.

SIGIR-2002-ChoudhariDJMMPR #mining #named #ontology #web

YellowPager: a tool for ontology-based mining of service directories from web sources (PC, HD, AJ, AM, SM, SP, IVR), p. 458.

POPL-2002-AmmonsBL #mining #specification

Mining specifications (GA, RB, JRL), pp. 4–16.

SAC-2002-ChangJ #clustering #data mining #mining #scalability

A new cell-based clustering method for large, high-dimensional data in data mining applications (JWC, DSJ), pp. 503–507.

SAC-2002-Geist #data mining #framework #mining

A framework for data mining and KDD (IG), pp. 508–513.

SAC-2002-KrishnaswamyLZ #data mining #estimation #metric #mining #quality #runtime

Application run time estimation: a quality of service metric for web-based data mining services (SK, SWL, ABZ), pp. 1153–1159.

SAC-2002-MaciasVR #algorithm #mining #using

Mining interesting regions using an evolutionary algorithm (JLÁM, JMV, JCRS), pp. 498–502.

SAC-2002-WangW #approach #data mining #mining #optimisation #query #relational

Optimizing relational store for e-catalog queries: a data mining approach (MW, XSW), pp. 1147–1152.

SPLC-2002-SmithBB #analysis #component #mining #product line #re-engineering #using

Using the Options Analysis for Reengineering (OAR) Method for Mining Components for a Product Line (DBS, LO, JB), pp. 316–327.

WICSA-2001-StoermerO #architecture #mining #named #product line

MAP — Mining Architectures for Product Line Evaluations (CS, LO), pp. 35–44.

PODS-2001-AgrawalA #algorithm #data mining #design #mining #on the #privacy #quantifier

On the Design and Quantification of Privacy Preserving Data Mining Algorithms (DA, CCA).

VLDB-2001-DongHLPW #mining #multi

Mining Multi-Dimensional Constrained Gradients in Data Cubes (GD, JH, JMWL, JP, KW), pp. 321–330.

VLDB-2001-MargaritisFT #data mining #mining #named #performance #scalability

NetCube: A Scalable Tool for Fast Data Mining and Compression (DM, CF, ST), pp. 311–320.

VLDB-2001-SadriZZA #data mining #mining #query

A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services (RS, CZ, AMZ, JA), pp. 653–656.

ICSM-2001-ShirabadLM #maintenance #mining

Supporting Software Maintenance by Mining Software Update Records (JSS, TCL, SM), pp. 22–31.

ICEIS-v1-2001-HippGG #algorithm #database #mining #relational

Integrating Association Rule Mining Algorithms with Relational Database Systems (JH, UG, UG), pp. 130–137.

ICEIS-v1-2001-ThorntonR #artificial reality #data mining #mining #network #using

Using Virtual Reality Data Mining for Network Management (KEBT, CR), pp. 340–344.

CIKM-2001-DasNW #agile #mining

Rapid Association Rule Mining (AD, WKN, YKW), pp. 474–481.

CIKM-2001-GhaniJM #corpus #mining #web

Mining the Web to Create Minority Language Corpora (RG, RJ, DM), pp. 279–286.

CIKM-2001-KrishnaK #algorithm #clustering #mining #symmetry

A Clustering Algorithm for Asymmetrically Related Data with Applications to Text Mining (KK, RK), pp. 571–573.

CIKM-2001-LeeLC #algorithm #incremental #mining #performance

Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining (CHL, CRL, MSC), pp. 263–270.

CIKM-2001-NanavatiCJK #mining

Mining Generalised Disjunctive Association Rules (AAN, KPC, SJ, RK), pp. 482–489.

CIKM-2001-PintoHPWCD #mining #multi

Multi-Dimensional Sequential Pattern Mining (HP, JH, JP, KW, QC, UD), pp. 81–88.

CIKM-2001-RadevQZBZFP #mining #natural language #web

Mining the Web for Answers to Natural Language Questions (DRR, HQ, ZZ, SBG, ZZ, WF, JMP), pp. 143–150.

CIKM-2001-WangHCC #mining

Mining Confident Rules Without Support Requirement (KW, YH, DWLC, FYLC), pp. 89–96.

KDD-2001-AdderleyM #behaviour #case study #commit #data mining #mining #modelling

Data mining case study: modeling the behavior of offenders who commit serious sexual assaults (RA, PBM), pp. 215–220.

KDD-2001-AggarwalP #concept #mining #re-engineering #semistructured data #set

Mining massively incomplete data sets by conceptual reconstruction (CCA, SP), pp. 227–232.

KDD-2001-BasuMPG #using

Evaluating the novelty of text-mined rules using lexical knowledge (SB, RJM, KVP, JG), pp. 233–238.

KDD-2001-BiFK #mining

The “DGX” distribution for mining massive, skewed data (ZB, CF, FK), pp. 17–26.

KDD-2001-BujaL #classification #data mining #mining

Data mining criteria for tree-based regression and classification (AB, YSL), pp. 27–36.

KDD-2001-DittrichS #algorithm #mining #named #scalability #set

GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces (JPD, BS), pp. 47–56.

KDD-2001-DomingosR #mining #network

Mining the network value of customers (PMD, MR), pp. 57–66.

KDD-2001-Edelstein #data mining #mining #question

Data mining: are we there yet? (HE), p. 7.

KDD-2001-Elkan #challenge #data mining #lessons learnt #mining

Magical thinking in data mining: lessons from CoIL challenge 2000 (CE), pp. 426–431.

KDD-2001-GarckeG #data mining #mining #using

Data mining with sparse grids using simplicial basis functions (JG, MG), pp. 87–96.

KDD-2001-HueglinV #data mining #mining

Data mining techniques to improve forecast accuracy in airline business (CH, FV), pp. 438–442.

KDD-2001-HultenSD #data type #mining

Mining time-changing data streams (GH, LS, PMD), pp. 97–106.

KDD-2001-JinTH #database #mining #scalability

Mining top-n local outliers in large databases (WJ, AKHT, JH), pp. 293–298.

KDD-2001-Kohavi #e-commerce #mining

Mining e-commerce data: the good, the bad, and the ugly (RK), pp. 8–13.

KDD-2001-KramerRH #mining

Molecular feature mining in HIV data (SK, LDR, CH), pp. 136–143.

KDD-2001-LambertP #mining #transaction

Mining a stream of transactions for customer patterns (DL, JCP), pp. 305–310.

KDD-2001-LiY #mining

Mining from open answers in questionnaire data (HL, KY), pp. 443–449.

KDD-2001-MahHL #mining #network

Funnel report mining for the MSN network (TM, HH, YL), pp. 450–455.

KDD-2001-Morimoto #database #mining #set

Mining frequent neighboring class sets in spatial databases (YM), pp. 353–358.

KDD-2001-Netz #data mining #database #developer #framework #mining

Data mining platform for database developers (AN), p. 14.

KDD-2001-Ramakrishnan #collaboration #data mining #mining

Mass collaboration and data mining (RR), p. 4.

KDD-2001-TrainaTPF #data mining #mining #multi #named #scalability #tool support

Tri-plots: scalable tools for multidimensional data mining (AJMT, CTJ, SP, CF), pp. 184–193.

KDD-2001-WarnerRDB #interactive #knowledge base #mining #web

Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web (DW, JNR, SDD, BB), pp. 467–472.

KDD-2001-YangWY #mining #named

Infominer: mining surprising periodic patterns (JY, WW, PSY), pp. 395–400.

KDD-2001-YangZL #mining #modelling #predict #web

Mining web logs for prediction models in WWW caching and prefetching (QY, HHZ, ITYL), pp. 473–478.

KDD-T-2001-FayyadRB #data mining #enterprise #mining

E-business enterprise data mining (UMF, NR, PSB), pp. 1–85.

KDD-T-2001-GallantPT #data mining #mining #web

Value-based data mining and web mining for CRM (SG, GPS, MT), pp. 325–390.

KDD-T-2001-HanLP #bibliography #mining #perspective #scalability

Scalable frequent-pattern mining methods: an overview (JH, LVSL, JP), pp. 264–324.

KDD-T-2001-KarguptaJ #data mining #distributed #mining #mobile #ubiquitous

Data mining “to go”: ubiquitous KDD for mobile and distributed environments (HK, AJ), pp. 186–263.

KDD-T-2001-Martin #data mining #mining #robust #statistics

Data mining for outliers with robust statistics (RDM), pp. 86–118.

LSO-2001-KrishnaswamyLZ #data mining #elicitation #mining

Knowledge Elicitation through Web-Based Data Mining Services (SK, SWL, ABZ), pp. 120–134.

LSO-2001-VossRMJ #collaboration #data mining #enterprise #mining

Collaboration Support for Virtual Data Mining Enterprises (AV, GR, SM, AJ), pp. 83–95.

MLDM-2001-PernerB #data mining #hybrid #mining

A Hybrid Tool for Data Mining in Picture Archiving System (PP, TPB), pp. 141–156.

MLDM-2001-SackK #data mining #evaluation #mining

Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining (US, MK), pp. 12–22.

MLDM-2001-SyG #analysis #approach #data mining #mining #statistics

Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data (BKS, AKG), pp. 128–140.

MLDM-2001-Visa #mining

Technology of Text Mining (AV), pp. 1–11.

SEKE-2001-AlonsoCGM #data mining #mining

Combining Expert Knowledge and Data Mining in a Medical Diagnosis Domain (FA, JPCV, ÁLG, CM), pp. 412–419.

SEKE-2001-ConciMC #image #mining

Image Mining by Color Coateat (AC, EMMMC), pp. 405–411.

SIGIR-2001-LuLC #mining #query

Anchor Text Mining for Translation Extraction of Query Terms (WHL, HJL, LFC), pp. 388–389.

TOOLS-USA-2001-LiKLCL #algorithm #automation #data mining #mining #parallel

Automatic Data Mining by Asynchronous Parallel Evolutionary Algorithms (JL, ZK, YL, HC, PL), pp. 99–107.

ICSE-2001-Michail #data mining #library #mining #named #reuse

CodeWeb: Data Mining Library Reuse Patterns (AM), pp. 827–828.

ICSE-2001-SmithOB #analysis #architecture #component #mining #product line #re-engineering

Mining Components for a Software Architecture and a Product Line: the Options Analysis for Reengineering (OAR) Method (DBS, LO, JB), p. 728.

HPDC-2001-KuntrarukP #data mining #distributed #feature model #mining #parallel #using

Massively Parallel Distributed Feature Extraction in Textual Data Mining Using HDDI(tm) (JK, WMP), pp. 363–370.

SIGMOD-2000-AgrawalS #data mining #mining #privacy

Privacy-Preserving Data Mining (RA, RS), pp. 439–450.

SIGMOD-2000-HanPY #generative #mining

Mining Frequent Patterns without Candidate Generation (JH, JP, YY), pp. 1–12.

SIGMOD-2000-HsuLG #image #information management #mining

Image Mining in IRIS: Integrated Retinal Information System (WH, MLL, KGG), p. 593.

SIGMOD-2000-PalmerF #clustering #data mining #mining

Density Biased Sampling: An Improved Method for Data Mining and Clustering (CRP, CF), pp. 82–92.

SIGMOD-2000-PeiMHZ #benchmark #data mining #metric #mining #performance #towards

Towards Data Mining Benchmarking: A Testbed for Performance Study of Frequent Pattern Mining (JP, RM, KH, HZ), p. 592.

SIGMOD-2000-RamaswamyRS #algorithm #mining #performance #scalability #set

Efficient Algorithms for Mining Outliers from Large Data Sets (SR, RR, KS), pp. 427–438.

SIGMOD-2000-RiedelFGN #data mining #for free #mining

Data Mining on an OLTP System (Nearly) for Free (ER, CF, GRG, DN), pp. 13–21.

SIGMOD-2000-ShenoyHSBBS #database #mining #scalability

Turbo-charging Vertical Mining of Large Databases (PS, JRH, SS, GB, MB, DS), pp. 22–33.

SIGMOD-2000-SzalayGKT #bibliography #design #mining #multi

Designing and Mining Multi-Terabyte Astronomy Archives: The Sloan Digital Sky Survey (ASS, PZK, AT, JG, DRS, RJB), pp. 451–462.

VLDB-2000-ChakrabartiSST #collaboration #mining #named

Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails (SC, SS, MS, MT), pp. 603–606.

VLDB-2000-ChoenniV #algorithm #data mining #design #implementation #mining

Design and Implementation of a Genetic-Based Algorithm for Data Mining (SC), pp. 33–42.

VLDB-2000-LakshmananJN #algebra #data mining #mining

The 3W Model and Algebra for Unified Data Mining (TJ, LVSL, RTN), pp. 21–32.

VLDB-2000-NetzCBF #data mining #database #integration #mining

Integration of Data Mining with Database Technology (AN, SC, JB, UMF), pp. 719–722.

VLDB-2000-Tsur #data mining #mining

Data Mining in the Bioinformatics Domain (ST), pp. 711–714.

VLDB-2000-WangHH #constraints #mining #using

Mining Frequent Itemsets Using Support Constraints (KW, YH, JH), pp. 43–52.

CSMR-2000-SartipiKM #architecture #data mining #design #mining #using

Architectural Design Recovery using Data Mining Techniques (KS, KK, FM), pp. 129–140.

CIKM-2000-Zaki #category theory #constraints #mining #sequence

Sequence Mining in Categorical Domains: Incorporating Constraints (MJZ), pp. 422–429.

ICML-2000-MamitsukaA #database #learning #mining #performance #query #scalability

Efficient Mining from Large Databases by Query Learning (HM, NA), pp. 575–582.

ICPR-v1-2000-YouB #data mining #mining #retrieval

Dynamic Shape Retrieval by Hierarchical Curve Matching, Snakes and Data Mining (JY, PB), pp. 5035–5038.

KDD-2000-Bay #mining #multi #set

Multivariate discretization of continuous variables for set mining (SDB), pp. 315–319.

KDD-2000-BecherBF #automation #data analysis #data mining #mining #performance

Automating exploratory data analysis for efficient data mining (JDB, PB, EF), pp. 424–429.

KDD-2000-Bhattacharyya #algorithm #data mining #mining #modelling #multi #performance

Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing (SB), pp. 465–473.

KDD-2000-BrijsGSVW #data mining #framework #mining

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model (TB, BG, GS, KV, GW), pp. 300–304.

KDD-2000-Catlett #data mining #mining #privacy

Among those dark electronic mills: privacy and data mining (invited talk, abstract only) (JC), p. 4.

KDD-2000-DhondGV #data mining #mining #optimisation

Data mining techniques for optimizing inventories for electronic commerce (AD, AG, SV), pp. 480–486.

KDD-2000-DomingosH #data type #mining #performance

Mining high-speed data streams (PMD, GH), pp. 71–80.

KDD-2000-FountainDS #mining #testing

Mining IC test data to optimize VLSI testing (TF, TGD, BS), pp. 18–25.

KDD-2000-GardnerB #data mining #mining #problem

Data mining solves tough semiconductor manufacturing problems (MG, JB), pp. 376–383.

KDD-2000-GavrilovAIM #mining #question

Mining the stock market (extended abstract): which measure is best? (MG, DA, PI, RM), pp. 487–496.

KDD-2000-HanPMCDH #mining #named

FreeSpan: frequent pattern-projected sequential pattern mining (JH, JP, BMA, QC, UD, MH), pp. 355–359.

KDD-2000-HsuLLL #database #mining

Exploration mining in diabetic patients databases: findings and conclusions (WH, MLL, BL, TWL), pp. 430–436.

KDD-2000-KingKCD #data mining #functional #mining #predict #sequence #using

Genome scale prediction of protein functional class from sequence using data mining (RDK, AK, AC, LD), pp. 384–389.

KDD-2000-MaLWYL #data mining #mining #student #using

Targeting the right students using data mining (YM, BL, CKW, PSY, SML), pp. 457–464.

KDD-2000-Papadimitriou #data mining #mining #on the

On certain rigorous approaches to data mining (invited talk, abstract only) (CHP), p. 2.

KDD-2000-PeiH #constraints #mining #question

Can we push more constraints into frequent pattern mining? (JP, JH), pp. 350–354.

KDD-2000-PenaFL #behaviour #data mining #detection #mining

Data mining to detect abnormal behavior in aerospace data (JMP, FF, SL), pp. 390–397.

KDD-2000-Stodder #data mining #mining

After the gold rush (invited talk, abstract only): data mining in the new economy (invited talk, abstract only) (DS), p. 7.

KDD-2000-TanBHG #data mining #mining

Textual data mining of service center call records (PNT, HB, SAH, RPG), pp. 417–423.

KDD-2000-WangMSW #biology #case study #classification #data mining #mining #network #sequence

Application of neural networks to biological data mining: a case study in protein sequence classification (JTLW, QM, DS, CHW), pp. 305–309.

KDD-2000-WangYY #mining #performance

Efficient mining of weighted association rules (WAR) (WW, JY, PSY), pp. 270–274.

KDD-2000-YangWY #mining

Mining asynchronous periodic patterns in time series data (JY, WW, PSY), pp. 275–279.

KDD-2000-ZhangDR #constraints #dataset #scalability

Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets (XZ, GD, KR), pp. 310–314.

SIGIR-2000-SwanA00a #automation #named #timeline #visualisation

TimeMine: visualizing automatically constructed timelines (RCS, JA), p. 393.

PADL-2000-HuCT #algorithm #analysis #data mining #mining

Calculating a New Data Mining Algorithm for Market Basket Analysis (ZH, WNC, MT), pp. 169–184.

SAC-2000-DongPDZ #mining

The Application of Association Rule Mining to Remotely Sensed Data (JD, WP, QD, JZ), pp. 340–345.

SAC-2000-GoodwinM #data mining #mining #predict

Data Mining for Preterm Birth Prediction (LKG, SM), pp. 46–51.

SAC-2000-HongKCW #algorithm #data-driven #database #fuzzy #mining

Mining Fuzzy Rules from Quantitative Data Based on the AprioriTid Algorithm (TPH, CSK, SCC, SLW), pp. 534–536.

SAC-2000-PsailaL #mining

Hierarchy-based Mining of Association Rules in Data Warehouses (GP, PLL), pp. 307–312.

SAC-2000-WangTH #database #dependence #functional #fuzzy #mining #relational

Mining Functional Dependencies from Fuzzy Relational Databases (SLW, JST, TPH), pp. 490–493.

ICSE-2000-Michail #data mining #library #mining #reuse #using

Data mining library reuse patterns using generalized association rules (AM), pp. 167–176.

HPDC-2000-HinkeN #data mining #grid #mining #power management

Data Mining on NASA’s Information Power Grid (THH, JN), pp. 292–293.

CL-2000-BastidePTSL #mining #using

Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets (YB, NP, RT, GS, LL), pp. 972–986.

ASE-1999-Michail #data mining #library #mining #reuse

Data Mining Library Reuse Patterns in User-Selected Applications (AM), p. 24–?.

SIGMOD-1999-Chakrabarti #data mining #database #hypermedia #mining

Hypertext Databases and Data Mining (SC), p. 508.

SIGMOD-1999-Hidber #mining #online

Online Association Rule Mining (CH), pp. 145–156.

SIGMOD-1999-NgLHM #mining #query #set

Exploratory Mining via Constrained Frequent Set Queries (RTN, LVSL, JH, TM), pp. 556–558.

VLDB-1999-GarofalakisRS #constraints #mining #named #regular expression

SPIRIT: Sequential Pattern Mining with Regular Expression Constraints (MNG, RR, KS), pp. 223–234.

VLDB-1999-KoudasMJ #database #mining

Mining Deviants in a Time Series Database (HVJ, NK, SM), pp. 102–113.

VLDB-1999-TamuraK #clustering #mining #parallel

Dynamic Load Balancing for Parallel Association Rule Mining on Heterogenous PC Cluster Systems (MT, MK), pp. 162–173.

ICEIS-1999-DuKM #algorithm #mining #performance #reuse

Two Fast Algorithms for Repeated Mining of Association Rules Based on Ressource Reuse (XD, KK, AM), pp. 65–73.

ICEIS-1999-RamanA #algorithm #mining

Candidate Drop Algorithm for Mining Association Rules (SR, TSA), pp. 132–139.

CIKM-1999-FengLYH #mining #transaction

Mining Inter-Transaction Associations with Templates (LF, HL, JXY, JH), pp. 225–233.

CIKM-1999-HoltC #database #mining #performance

Efficient Mining of Association Rules in Text Databases (JDH, SMC), pp. 234–242.

CIKM-1999-ParthasarathyZOD #incremental #interactive #mining #sequence

Incremental and Interactive Sequence Mining (SP, MJZ, MO, SD), pp. 251–258.

KDD-1999-Agrawal #data mining #mining

Data Mining: Crossing the Chasm (Invited talk, Abstract only) (RA), p. 2.

KDD-1999-BayardoA #mining

Mining the Most Interesting Rules (RJBJ, RA), pp. 145–154.

KDD-1999-BayP #category theory #data mining #detection #mining #set

Detecting Change in Categorical Data: Mining Contrast Sets (SDB, MJP), pp. 302–306.

KDD-1999-BrinRS #mining

Mining Optimized Gain Rules for Numeric Attributes (SB, RR, KS), pp. 135–144.

KDD-1999-BuntineFP #automation #data mining #mining #source code #synthesis #towards

Towards Automated Synthesis of Data Mining Programs (WLB, BF, TP), pp. 372–376.

KDD-1999-ChengFZ #clustering #mining

Entropy-based Subspace Clustering for Mining Numerical Data (CHC, AWCF, YZ), pp. 84–93.

KDD-1999-CortesP #agile #deployment #framework #mining

Information Mining Platforms: An Infrastructure for KDD Rapid Deployment (CC, DP), pp. 327–331.

KDD-1999-DongL #difference #mining #performance #roadmap

Efficient Mining of Emerging Patterns: Discovering Trends and Differences (GD, JL), pp. 43–52.

KDD-1999-DorreGS #mining

Text Mining: Finding Nuggets in Mountains of Textual Data (JD, PG, RS), pp. 398–401.

KDD-1999-HotzNPS #data mining #industrial #mining

WAPS, a Data Mining Support Environment for the Planning of Warranty and Goodwill Costs in the Automobile Industry (EH, GN, BP, HS), pp. 417–419.

KDD-1999-LarsenA #clustering #documentation #effectiveness #linear #mining #performance #using

Fast and Effective Text Mining Using Linear-Time Document Clustering (BL, CA), pp. 16–22.

KDD-1999-LeeSM #data flow #detection #experience #mining #network

Mining in a Data-Flow Environment: Experience in Network Intrusion Detection (WL, SJS, KWM), pp. 114–124.

KDD-1999-LeshZO #classification #mining #sequence

Mining Features for Sequence Classification (NL, MJZ, MO), pp. 342–346.

KDD-1999-LiuHM99a #mining #multi

Mining Association Rules with Multiple Minimum Supports (BL, WH, YM), pp. 337–341.

KDD-1999-LiuHMC #mining #using

Mining Interesting Knowledge Using DM-II (BL, WH, YM, SC), pp. 430–434.

KDD-1999-ManiDBD #data mining #mining #modelling #statistics

Statistics and Data Mining Techniques for Lifetime Value Modeling (DRM, JD, AB, PD), pp. 94–103.

KDD-1999-MegalooikonomouDH #database #image #mining

Mining Lesion-Deficit Associations in a Brain Image Database (VM, CD, EH), pp. 347–351.

KDD-1999-RogersLW #mining #modelling

Mining GPS Data to Augment Road Models (SR, PL, CW), pp. 104–113.

KDD-1999-TungLHF #mining #transaction

Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules (AKHT, HL, JH, LF), pp. 297–301.

KDD-1999-WangWLSSZ #algorithm #clustering #data mining #mining

Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering (JTLW, XW, KIL, DS, BAS, KZ), pp. 307–311.

KDD-T-1999-Feldman #mining #semistructured data

Mining Unstructured Data (RF), pp. 182–236.

KDD-T-1999-Holsheimer #data mining #mining #process

Data Mining by Business Users: Integrating Data Mining in Business Processes (MH), pp. 266–291.

KDD-T-1999-RastogiS #algorithm #database #mining #scalability

Scalable Algorithms for Mining Large Databases (RR, KS), pp. 73–140.

MLDM-1999-HongW #data mining #mining #predict

Advanced in Predictive Data Mining Methods (SJH, SMW), pp. 13–20.

MLDM-1999-Sawaragi #data mining #effectiveness #interactive #mining

Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System (TS), pp. 180–194.

MLDM-1999-Scaringella #data mining #mining #monitoring #risk management

A Data Mining Application for Monitoring Environmental Risks (AS), pp. 209–215.

SIGIR-1999-NieSID #automation #information retrieval #mining #parallel #web

Cross-Language Information Retrieval Based on Parallel Texts and Automatic Mining of Parallel Texts from the Web (JYN, MS, PI, RD), pp. 74–81.

SIGMOD-1998-AgrawalGGR #automation #clustering #data mining #mining

Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications (RA, JG, DG, PR), pp. 94–105.

SIGMOD-1998-Bayardo #database #mining

Efficiently Mining Long Patterns from Databases (RJBJ), pp. 85–93.

SIGMOD-1998-LiS #data mining #mining #parallel

Free Parallel Data Mining (BL, DS), pp. 541–543.

SIGMOD-1998-NgLHP #mining #optimisation

Exploratory Mining and Pruning Optimizations of Constrained Association Rules (RTN, LVSL, JH, AP), pp. 13–24.

SIGMOD-1998-NgLK #data mining #mining

A Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA) (KN, HL, HK), pp. 522–525.

SIGMOD-1998-SarawagiTA #database #mining #relational

Integrating Mining with Relational Database Systems: Alternatives and Implications (SS, ST, RA), pp. 343–354.

SIGMOD-1998-ShintaniK #algorithm #classification #mining #parallel

Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy (TS, MK), pp. 25–36.

SIGMOD-1998-TsurUACMNR #mining #query

Query Flocks: A Generalization of Association-Rule Mining (ST, JDU, SA, CC, RM, SN, AR), pp. 1–12.

SIGMOD-1998-ZaianeHLCC #data mining #mining #multi #named #prototype

MultiMediaMiner: A System Prototype for Multimedia Data Mining (ORZ, JH, ZNL, SHSC, JC), pp. 581–583.

VLDB-1998-ChakrabartiSD #mining #using

Mining Surprising Patterns Using Temporal Description Length (SC, SS, BD), pp. 606–617.

VLDB-1998-EsterKSWX #clustering #incremental #mining

Incremental Clustering for Mining in a Data Warehousing Environment (ME, HPK, JS, MW, XX), pp. 323–333.

VLDB-1998-George #data mining #mining #named #parallel

DMS: A Parallel Data Mining Server (FAWG), p. 702.

VLDB-1998-KnorrN #algorithm #dataset #mining #scalability

Algorithms for Mining Distance-Based Outliers in Large Datasets (EMK, RTN), pp. 392–403.

VLDB-1998-KornLKF #data mining #mining #paradigm #performance

Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining (FK, AL, YK, CF), pp. 582–593.

VLDB-1998-MorimotoFMTY #algorithm #category theory #database #mining

Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases (YM, TF, HM, TT, KY), pp. 380–391.

VLDB-1998-RiedelGF #data mining #mining #multi #scalability

Active Storage for Large-Scale Data Mining and Multimedia (ER, GAG, CF), pp. 62–73.

VLDB-1998-SilversteinBMU #mining #scalability

Scalable Techniques for Mining Causal Structures (CS, SB, RM, JDU), pp. 594–605.

ICSM-1998-OcaC #data mining #identification #mining #using

Identification of Data Cohesive Subsystems Using Data Mining Techniques (CMdO, DLC), pp. 16–23.

WCRE-1998-Dayani-FardJ #mining #repository #reverse engineering

Reverse Engineering by Mining Dynamic Repositories (HDF, IJ), pp. 174–182.

CIKM-1998-HaradaAOT #mining #parallel

Dynamic Skew Handling in Parallel Mining of Association Rules (LH, NA, KO, RT), pp. 76–85.

CIKM-1998-LiYC #abstraction #database #framework #mining #multi #named #sequence

MALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels (CSL, PSY, VC), pp. 267–272.

CIKM-1998-TungTL #mining #named #online #optimisation #using

BROOM: Buffer Replacement using Online Optimization by Mining (AKHT, YCT, HL), pp. 185–192.

ICPR-1998-MadhavanDD #locality #pattern matching #statistics

Map-building and map-based localization in an underground-mine by statistical pattern matching (RM, GD, HDW), pp. 1744–1746.

KDD-1998-BerchtoldJR #data mining #diagrams #independence #mining #visual notation

Independence Diagrams: A Technique for Visual Data Mining (SB, HVJ, KAR), pp. 139–143.

KDD-1998-BorgesL #database #hypermedia #mining

Mining Association Rules in Hypertext Databases (JB, ML), pp. 149–153.

KDD-1998-CortesP

Giga-Mining (CC, DP), pp. 174–178.

KDD-1998-DomshlakGGLMRS #flexibility #framework #named #research

FlexiMine — A Flexible Platform for KDD Research and Application Construction (CD, DG, EG, NL, AM, TR, SES), pp. 184–188.

KDD-1998-FeeldersCM #bias #mining

Mining in the Presence of Selectivity Bias and its Application to Reject Inference (AJF, SC, GJM), pp. 199–203.

KDD-1998-GrecuB #data mining #distributed #learning #mining

Coactive Learning for Distributed Data Mining (DLG, LAB), pp. 209–213.

KDD-1998-GuralnikWS #mining #sequence

Pattern Directed Mining of Sequence Data (VG, DW, JS), pp. 51–57.

KDD-1998-HanGY #database #mining

Mining Segment-Wise Periodic Patterns in Time-Related Databases (JH, WG, YY), pp. 214–218.

KDD-1998-KellyHA #data mining #mining #performance

Defining the Goals to Optimise Data Mining Performance (MGK, DJH, NMA), pp. 234–238.

KDD-1998-LeeSM #detection #mining #modelling

Mining Audit Data to Build Intrusion Detection Models (WL, SJS, KWM), pp. 66–72.

KDD-1998-LingL #data mining #mining #problem

Data Mining for Direct Marketing: Problems and Solutions (CXL, CL), pp. 73–79.

KDD-1998-LiuHM #classification #mining

Integrating Classification and Association Rule Mining (BL, WH, YM), pp. 80–86.

KDD-1998-NakhaeizadehS #algorithm #data mining #evaluation #mining #personalisation #towards

Towards the Personalization of Algorithms Evaluation in Data Mining (GN, AS), pp. 289–293.

KDD-1998-ParthasarathyZL #memory management #mining #parallel

Memory Placement Techniques for Parallel Association Mining (SP, MJZ, WL), pp. 304–308.

KDD-1998-PinheiroS #database #mining #semistructured data

Methods for Linking and Mining Massive Heterogeneous Databases (JCP, DXS), pp. 309–313.

KDD-1998-SinghCHSA #architecture #mining #robust

A Robust System Architecture for Mining Semi-Structured Data (LS, BC, RH, PS, KA), pp. 329–333.

KDD-1998-StaudtKR #data mining #mining

A Data Mining Support Environment and its Application on Insurance Data (MS, JUK, UR), pp. 105–111.

KDD-1998-Stolfo #classification #database #mining

Mining Databases with Different Schemas: Integrating Incompatible Classifiers (ALP, SJS), pp. 314–318.

KDD-1998-Subramonian #data mining #mining

Defining diff as a Data Mining Primitive (RS), pp. 334–338.

KDD-1998-ThomasS #mining #query #sql #using

Mining Generalized Association Rules and Sequential Patterns Using SQL Queries (ST, SS), pp. 344–348.

KDD-1998-ZakiLO #mining #named #sequence

PlanMine: Sequence Mining for Plan Failures (MJZ, NL, MO), pp. 369–374.

SIGIR-1998-LinSCHKH #approach #classification #documentation #internet #mining #semantics

Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach (SHL, CSS, MCC, JMH, MTK, YMH), pp. 241–249.

TOOLS-ASIA-1998-WangH #data mining #implementation #mining #research

The Research and Implementation of Data Warehouse and Data Mining in Decision Support System (BW, JH), pp. 362–371.

SAC-1998-MachucaM #data mining #database #mining #precise #relational #set

Enhancing the exploitation of data mining in relational database systems via the rough sets theory including precision variables (FM, MM), pp. 70–73.

HPDC-1998-OguchiSTK #clustering #data mining #effectiveness #evaluation #mining #optimisation #parallel #parametricity #protocol #scalability

Optimizing Protocol Parameters to Large Scale PC Cluster and Evaluation of its Effectiveness with Parallel Data Mining (MO, TS, TT, MK), pp. 34–41.

PODS-1997-GunopulosKMT #data mining #machine learning #mining

Data mining, Hypergraph Transversals, and Machine Learning (DG, RK, HM, HT), pp. 209–216.

SIGMOD-1997-HanKK #data mining #mining #parallel #scalability

Scalable Parallel Data Mining for Association Rules (EHH, GK, VK), pp. 277–288.

SIGMOD-1997-HanKS #data mining #mining #named #prototype

GeoMiner: A System Prototype for Spatial Data Mining (JH, KK, NS), pp. 553–556.

VLDB-1997-KietzRS #mining

Mining Insurance Data at Swiss Life (JUK, UR, MS), pp. 562–566.

VLDB-1997-ShaferA #algorithm #data mining #mining #parallel #similarity

Parallel Algorithms for High-dimensional Similarity Joins for Data Mining Applications (JCS, RA), pp. 176–185.

VLDB-1997-WangYM #approach #data mining #grid #mining #named #statistics

STING: A Statistical Information Grid Approach to Spatial Data Mining (WW, JY, RRM), pp. 186–195.

CIKM-1997-ChanA #fuzzy #mining

Mining Fuzzy Association Rules (KCCC, WHA), pp. 209–215.

CIKM-1997-HahnS #mining

Knowledge Mining from Textual Sources (UH, KS), pp. 83–90.

CIKM-1997-ParkYC #mining

Mining Association Rules with Adjustable Accuracy (JSP, PSY, MSC), pp. 151–160.

CIKM-1997-YoonSP #data mining #mining #query #using

Intensional Query Processing Using Data Mining Approaches (SCY, IYS, EKP), pp. 201–208.

KDD-1997-AronisP #algorithm #data mining #mining #performance

Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation (JMA, FJP), pp. 119–122.

KDD-1997-Bayardo #classification #mining

Brute-Force Mining of High-Confidence Classification Rules (RJBJ), pp. 123–126.

KDD-1997-BergstenSS #analysis #data mining #machine learning #mining

Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis (UB, JS, PS), pp. 127–130.

KDD-1997-BrunkKK #data mining #mining #named

MineSet: An Integrated System for Data Mining (CB, JK, RK), pp. 135–138.

KDD-1997-ChattratichatDGGHKSTY #challenge #data mining #mining #scalability

Large Scale Data Mining: Challenges and Responses (JC, JD, MG, YG, HH, MK, JS, HWT, DY), pp. 143–146.

KDD-1997-DeCoste #behaviour #mining #multi

Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes (DD), pp. 151–154.

KDD-1997-EngelsLS #data mining #mining

A Guided Tour through the Data Mining Jungle (RE, GL, RS), pp. 163–166.

KDD-1997-FeldmanAAZK #documentation #keyword #mining

Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections (RF, YA, AA, AZ, WK), pp. 167–170.

KDD-1997-FeldmanKZ #data mining #documentation #mining #visualisation

Visualization Techniques to Explore Data Mining Results for Document Collections (RF, WK, AZ), pp. 16–23.

KDD-1997-HaimowitzGS #database #distributed #mining

Integrating and Mining Distributed Customer Databases (IJH, ÖGA, HS), pp. 179–182.

KDD-1997-HinkeRRG #independence #mining #roadmap

Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining (THH, JAR, HSR, SJG), pp. 187–190.

KDD-1997-KahngM #algorithm #mining

Mining Generalized Term Associations: Count Propagation Algorithm (JK, WHKL, DM), pp. 203–206.

KDD-1997-KamberHC #mining #multi #using

Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes (MK, JH, JC), pp. 207–210.

KDD-1997-KarguptaHS #architecture #data mining #distributed #mining #scalability

Scalable, Distributed Data Mining — An Agent Architecture (HK, IH, BS), pp. 211–214.

KDD-1997-KramerPH #machine learning #mining

Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail (SK, BP, CH), pp. 223–226.

KDD-1997-MihalisinT #data mining #mining #performance #robust #visual notation

Fast Robust Visual Data Mining (TM, JT), pp. 231–234.

KDD-1997-NakhaeizadehS #algorithm #data mining #development #evaluation #metric #mining #multi

Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms (GN, AS), pp. 37–42.

KDD-1997-SrikantVA #constraints #mining

Mining Association Rules with Item Constraints (RS, QV, RA), pp. 67–73.

KDD-1997-ZupanBBC #approach #composition #data mining #dataset #mining

A Dataset Decomposition Approach to Data Mining and Machine Discovery (BZ, MB, IB, BC), pp. 299–302.

TOOLS-ASIA-1997-Dai #approach #data mining #database #integration #mining #multi #object-oriented

An Object-Oriented Approach to Schema Integration and Data Mining in Multiple Databases (HD), pp. 294–303.

SAC-1997-ChanA #algorithm #effectiveness #mining

An effective algorithm for mining interesting quantitative association rules (KCCC, WHA), pp. 88–90.

SAC-1997-GoliP #data mining #mining #multi

Application of domain vector perfect hash join for multimedia data mining (VNRG, WP), pp. 334–339.

SAC-1997-Mazlack #database #mining

Developing a focus in unsupervised database mining (LJM), pp. 187–191.

ILPS-1997-Mannila #data mining #database #induction #mining

Inductive Databases and Condensed Representations for Data Mining (HM), pp. 21–30.

PODS-1996-BettiniWJ #data mining #mining #multi #testing

Testing Complex Temporal Relationships Involving Multiple Granularities and Its Application to Data Mining (CB, XSW, SJ), pp. 68–78.

PODS-1996-FukudaMMT #mining

Mining Optimized Association Rules for Numeric Attributes (TF, YM, SM, TT), pp. 182–191.

SIGMOD-1996-FukudaMMT #2d #algorithm #data mining #mining #using #visualisation

Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization (TF, YM, SM, TT), pp. 13–23.

SIGMOD-1996-Han #data mining #mining

Data Mining Techniques (JH), p. 545.

SIGMOD-1996-HanFWCZK #database #interactive #mining #multi #named #relational

DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases (JH, YF, WW, JC, ORZ, KK), p. 550.

SIGMOD-1996-SrikantA #mining #relational #scalability

Mining Quantitative Association Rules in Large Relational Tables (RS, RA), pp. 1–12.

VLDB-1996-MeoPC #mining

A New SQL-like Operator for Mining Association Rules (RM, GP, SC), pp. 122–133.

VLDB-1996-MiningGroup #data mining #mining #visualisation

MineSet(tm): A System for High-End Data Mining and Visualization, p. 595.

VLDB-1996-ShaferAM #classification #data mining #mining #named #parallel #scalability

SPRINT: A Scalable Parallel Classifier for Data Mining (JCS, RA, MM), pp. 544–555.

VLDB-1996-ViverosNR #data mining #health #information management #mining

Applying Data Mining Techniques to a Health Insurance Information System (MSV, JPN, MJR), pp. 286–294.

AKDDM-1996-FayyadPS #bibliography #data mining #information management #mining #perspective

From Data Mining to Knowledge Discovery: An Overview (UMF, GPS, PS), pp. 1–34.

AKDDM-1996-HanF #data mining #induction #mining

Attribute-Oriented Induction in data Mining (JH, YF), pp. 399–421.

AKDDM-1996-Piatetsky-Shapiro #data mining #information management #internet #mining

Data Mining and Knowledge Discovery Internet Resources (GPS), pp. 593–595.

AKDDM-1996-ShenOMZ #data mining #mining

Metaqueries for Data Mining (WMS, KO, BGM, CZ), pp. 375–398.

AKDDM-1996-SimoudisLK #data mining #deduction #induction #mining #reasoning

Integrating Inductive and Deductive Reasoning for Data Mining (ES, BL, RK), pp. 353–373.

AKDDM-1996-Uthurusamy #challenge #data mining #information management #mining

From Data Mining to Knowledge Discovery: Current Challenges and Future Directions (RU), pp. 561–569.

CIKM-1996-FortinL #approach #mining #multi #object-oriented

An Object-Oriented Approach to Multi-Level Association Rule Mining (SF, LL), pp. 65–72.

CIKM-1996-HanP #algorithm #mining

Background for Association Rules and Cost Estimate of Selected Mining Algorithms (JLH, AWP), pp. 73–80.

ICML-1996-Mannila #data mining #machine learning #mining

Data Mining and Machine Learning (Abstract) (HM), p. 555.

KDD-1996-AgrawalMSSAB #data mining #mining

The Quest Data Mining System (RA, MM, JCS, RS, AA, TB), pp. 244–249.

KDD-1996-AgrawalS #data mining #database #mining #relational

Developing Tightly-Coupled Data Mining Applications on a Relational Database System (RA, KS), pp. 287–290.

KDD-1996-CiesielskiP #bibliography #database #hybrid #mining #using

Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data (VC, GP), pp. 38–43.

KDD-1996-Czyzewski #mining

Mining Knowledge in Noisy Audio Data (AC), pp. 220–225.

KDD-1996-Fahner #data mining #interactive #mining

Data Mining with Sparse and Simplified Interaction Selection (GF), pp. 359–362.

KDD-1996-FawcettP #data mining #effectiveness #machine learning #mining #profiling

Combining Data Mining and Machine Learning for Effective User Profiling (TF, FJP), pp. 8–13.

KDD-1996-FayyadPS #data mining #framework #information management #mining #towards

Knowledge Discovery and Data Mining: Towards a Unifying Framework (UMF, GPS, PS), pp. 82–88.

KDD-1996-FeldmanH #mining

Mining Associations in Text in the Presence of Background Knowledge (RF, HH), pp. 343–346.

KDD-1996-FlockhartR #approach #data mining #mining #search-based

A Genetic Algorithm-Based Approach to Data Mining (IWF, NJR), pp. 299–302.

KDD-1996-FultonKSW #data mining #induction #interactive #mining #towards

Local Induction of Decision Trees: Towards Interactive Data Mining (TF, SK, SS, DLW), pp. 14–19.

KDD-1996-GaneshSR #database #identification #integration #mining

Mining Entity-Identification Rules for Database Integration (MG, JS, TR), pp. 291–294.

KDD-1996-GrossmanBNP #data mining #mining #optimisation

Data Mining and Tree-Based Optimization (RLG, HB, DN, HVP), pp. 323–326.

KDD-1996-HanFWCGKLLRSXZ #database #mining #named #relational #scalability

DBMiner: A System for Mining Knowledge in Large Relational Databases (JH, YF, WW, JC, WG, KK, DL, YL, AR, NS, BX, ORZ), pp. 250–255.

KDD-1996-ImielinskiVA #database #interface #mining #named #programming #query

DataMine: Application Programming Interface and Query Language for Database Mining (TI, AV, AA), pp. 256–262.

KDD-1996-JohnL #data mining #mining

Static Versus Dynamic Sampling for Data Mining (GHJ, PL), pp. 367–370.

KDD-1996-KontkanenMT #data mining #finite #mining #predict

Predictive Data Mining with Finite Mixtures (PK, PM, HT), pp. 176–182.

KDD-1996-Piatetsky-ShapiroBKKS #bibliography #data mining #industrial #information management #mining

An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications (GPS, RJB, TK, WK, ES), pp. 89–95.

KDD-1996-ProvanS #case study #data mining #mining

Data Mining and Model Simplicity: A Case Study in Diagnosis (GMP, MS), pp. 57–62.

KDD-1996-ShekMMN #data mining #distributed #mining #scalability

Scalable Exploratory Data Mining of Distributed Geoscientific Data (ECS, RRM, EM, KWN), pp. 32–37.

KDD-1996-ShenL #data mining #generative #mining

Metapattern Generation for Integrated Data Mining (WMS, BL), pp. 152–157.

KDD-1996-StolorzD #data mining #detection #mining #named #scalability

Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space (PES, CD), pp. 208–213.

KDD-1996-WrobelWSE #data mining #mining

Extensibility in Data Mining Systems (SW, DW, ES, WE), pp. 214–219.

KDD-1996-ZytkowZ #automation #mining

Automated Pattern Mining with a Scale Dimension (JMZ, RZ), pp. 158–163.

SEKE-1996-ChangW #case study #data mining #mining

Scientific Data Mining: A Case Study (CYC, JTLW), pp. 100–107.

JICSLP-1996-BurgardCFKL #detection #logic programming #tool support

Logic Programming Tools Applied to Fire Detection in Hard-coal Mines (Poster Abstract) (WB, ABC, DF, AMK, SLK), p. 532.

SIGMOD-1995-FaloutsosL #algorithm #dataset #multi #named #performance #visualisation

FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets (CF, KIL), pp. 163–174.

SIGMOD-1995-ImielinskiV #interactive #named

DataMine — Interactive Rule Discovery System (TI, AV), p. 472.

SIGMOD-1995-ParkCY #algorithm #effectiveness #mining

An Effective Hash Based Algorithm for Mining Association Rules (JSP, MSC, PSY), pp. 175–186.

VLDB-1995-LuSL #approach #data mining #mining #named

NeuroRule: A Connectionist Approach to Data Mining (HL, RS, HL), pp. 478–489.

VLDB-1995-SavasereON #algorithm #database #mining #performance #scalability

An Efficient Algorithm for Mining Association Rules in Large Databases (AS, EO, SBN), pp. 432–444.

VLDB-1995-SrikantA #mining

Mining Generalized Association Rules (RS, RA), pp. 407–419.

CIKM-1995-AnandBH #data mining #mining

The Role of Domain Knowledge in Data Mining (SSA, DAB, JGH), pp. 37–43.

CIKM-1995-Han #concept #mining #multi

Mining Knowledge at Multiple Concept Levels (JH), pp. 19–24.

CIKM-1995-ParkCY #data mining #mining #parallel #performance

Efficient Parallel and Data Mining for Association Rules (JSP, MSC, PSY), pp. 31–36.

KDD-1995-AgrawalP #data mining #mining

Active Data Mining (RA, GP), pp. 3–8.

KDD-1995-FeeldersLZ #case study #data mining #evaluation #mining

Data Mining for Loan Evaluation at ABN AMRO: A Case Study (AJF, AJFlL, JWvZ), pp. 106–111.

KDD-1995-HolsheimerKMT #data mining #database #mining

A Perspective on Databases and Data Mining (MH, MLK, HM, HT), pp. 150–155.

KDD-1995-SeshadriSW #data mining #feature model #mining

Feature Extraction for Massive Data Mining (VS, RS, SMW), pp. 258–262.

KDD-1995-StolorzNMMSSYNCMF #data mining #dataset #mining #performance #scalability

Fast Spatio-Temporal Data Mining of Large Geophysical Datasets (PES, HN, EM, RRM, ECS, JRS, JY, KWN, SYC, CRM, JDF), pp. 300–305.

PODS-1994-Agrawal #database #mining #tutorial

Tutorial Database Mining (RA), pp. 75–76.

SIGMOD-1994-AgrawalCFGHIIMMSS #database #mining #named

Quest: A Project on Database Mining (RA, MJC, CF, SPG, MAWH, TI, BRI, AM, HM, RS, ANS), p. 514.

VLDB-1994-AgrawalS #algorithm #database #mining #performance #scalability

Fast Algorithms for Mining Association Rules in Large Databases (RA, RS), pp. 487–499.

VLDB-1994-NgH #clustering #data mining #effectiveness #mining #performance

Efficient and Effective Clustering Methods for Spatial Data Mining (RTN, JH), pp. 144–155.

KDD-1994-AnandBH #architecture #database #mining #optimisation #preprocessor #query #semantics

Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization (SSA, DAB, JGH), pp. 287–298.

KDD-1994-HolsheimerK #architecture #data mining #mining

Architectural Support for Data Mining (MH, MLK), pp. 217–228.

KDD-1994-SimoudisLK #database #deduction #induction #mining #reasoning

Integrating Inductive and Deductive Reasoning for Database Mining (ES, BL, RK), pp. 37–48.

SIGMOD-1993-AgrawalIS #database #mining #scalability #set

Mining Association Rules between Sets of Items in Large Databases (RA, TI, ANS), pp. 207–216.

HCI-ACS-1993-KeranRS #automation #mining #mobile #perspective

Automation of Mobile Equipment in Mining: A Human Factors Perspective (CMK, RFR, TJS), pp. 307–312.

HCI-ACS-1993-NtuenPK #architecture #human-computer #interface #mining

A Blackboard Architecture for Human-Machine Interface in a Mining Teleoperation (CAN, EHP, SMK), pp. 50–55.

CIKM-1993-CrompC #data mining #image #mining #multi

Data Mining of Multi-dimensional Remotely Sensed Images (RFC, WJC), pp. 471–480.

ICML-1993-RaoVF #data mining #mining

Data Mining of Subjective Agricultural Data (RBR, TBV, TWF), pp. 244–251.

VLDB-1992-AgrawalGIIS #classification #database #mining

An Interval Classifier for Database Mining Applications (RA, SPG, TI, BRI, ANS), pp. 560–573.

KDD-1991-KaufmanMK #database #mining

Mining for Knowledge in Databases: Goals and General Description of the INLEN System (KAK, RSM, LK), pp. 449–464.

KDD-1991-ZytkowB #database #interactive #mining

Interactive Mining of Regularities in Databases (JMZ, JB), pp. 31–54.