BibSLEIGH — data mining tag

data mining

data mining

Tag #data mining

475 papers:

EDM-2019-YahyaMO #education #effectiveness #mining #novel #source code #using: A Novel Use of Educational Data Mining to Inform Effective Management of Academic Programs (AAY, FAM, AO).
KDD-2019-Chen0 #machine learning #mining #optimisation #order #robust: Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning (PYC, SL0), pp. 3233–3234.
KDD-2019-LiX #mining #named #privacy #scalability: PrivPy: General and Scalable Privacy-Preserving Data Mining (YL, WX), pp. 1299–1307.
KDD-2019-VreekenY #mining #theory and practice: Modern MDL meets Data Mining Insights, Theory, and Practice (JV, KY), pp. 3229–3230.
KDD-2019-XiaoS #development #mining #named #tutorial: Tutorial: Data Mining Methods for Drug Discovery and Development (CX, JS), pp. 3195–3196.
CASE-2019-Dagnino #mining #process: Data Mining Methods to Analyze Alarm Logs in IoT Process Control Systems (AD), pp. 323–330.
EDM-2018-ChenLG #education #mining #online: Re-designing the Structure of Online Courses to Empower Educational Data Mining (ZC, SL, GG).
CIKM-2018-WangYWJZZW #graph #mining #named #scalability: AceKG: A Large-scale Knowledge Graph for Academic Data Mining (RW, YY, JW, YJ, YZ, WZ0, XW), pp. 1487–1490.
JCDL-2017-SaggionR #mining: Scholarly Data Mining: Making Sense of Scientific Literature (HS, FR), pp. 346–347.
EDM-2017-BeckCB #education #learning #mining: Workshop proposal: deep learning for educational data mining (JB, MC, RSB).
EDM-2017-LynchBXG #education #graph #mining: Graph-based Educational Data Mining (CL, TB, LX, NG).
CIKM-2017-HuJ #mining #modelling: IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models (XH, SJ), pp. 2565–2566.
KDD-2017-BlalockG #mining #named #performance: Bolt: Accelerated Data Mining with Fast Vector Compression (DWB, JVG), pp. 727–735.
KDD-2017-GanH #framework #mining #scalability: A Data Mining Framework for Valuing Large Portfolios of Variable Annuities (GG, JXH), pp. 1467–1475.
CASE-2017-LuLXZB #industrial #mining #process #research: Research on data mining service and its application case in complex industrial process (QL, ZJL, QX, YZ, JB), pp. 1124–1129.
EDM-2016-HaoLDKK #analysis #collaboration #mining #problem #statistics: Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining (JH, LL, AvD, PCK, CK), pp. 382–387.
EDM-2016-Penteado #assessment #estimation #mining #scalability #semantics #using: Estimation of prerequisite skills model from large scale assessment data using semantic data mining (BEP), pp. 675–677.
EDM-2016-SabourinMW #education #mining #tool support: SAS Tools for Educational Data Mining (JS, SWM, ADW), pp. 632–633.
EDM-2016-Sherzad #challenge #education #mining: Applicability of Educational Data Mining in Afghanistan: Opportunities and Challenges (ARS), pp. 634–635.
CHI-PLAY-2016-WellsCLMGS #mining #network: Mining for Gold (and Platinum): PlayStation Network Data Mining (LW, AJCS, IJL, LM, BG, KdS), pp. 304–312.
CIKM-2016-AgrawalC #mining #predict #using: A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor (AA, ANC), pp. 2497–2500.
CIKM-2016-ChenDWST #mining #recommendation: From Recommendation to Profile Inference (Rec2PI): A Value-added Service to Wi-Fi Data Mining (CC0, FD, KW0, VS0, AT), pp. 1503–1512.
CIKM-2016-ShiTWA #big data #mining #visual notation: ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era (LS, HT, CW, LA), p. 2509.
KDD-2016-HajianBC #algorithm #bias #mining: Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining (SH, FB, CC0), pp. 2125–2126.
KDD-2016-PrakashR #algorithm #mining #modelling: Leveraging Propagation for Data Mining: Models, Algorithms and Applications (BAP, NR), pp. 2133–2134.
KDD-2016-WangZD #matrix #mining #modelling: Healthcare Data Mining with Matrix Models (FW0, PZ0, JD), pp. 2137–2138.
CASE-2016-ChengZWCJL #case study #energy #fault #mining #using: Case studies of fault diagnosis and energy saving in buildings using data mining techniques (ZC, QZ, FW, ZC, YJ, YL), pp. 646–651.
EDM-2015-BravoRLP #education #mining #online #tool support: Exploring the Influence of ICT in online Education Through Data Mining Tools (JB, SJR, JML, SP), pp. 540–543.
EDM-2015-CrossleyMBWPBB #education #mining #online: Language to Completion: Success in an Educational Data Mining Massive Open Online Class (SAC, DSM, RSB, YW, LP, TB, YB), pp. 388–391.
EDM-2015-CuadrosGRGZO #education #mining: Educational Data Mining in an Open-Ended Remote Laboratory on Electric Circuits. Goals and Preliminary Results (JC, LGS, SR, MLG, JGZ, PO), pp. 578–579.
EDM-2015-SabourinKFM #education #industrial #mining #privacy #student: Student Privacy and Educational Data Mining: Perspectives from Industry (JS, LK, CF, SWM), pp. 164–170.
EDM-2015-Tibbles #learning #mining: Exploring the Impact of Spacing in Mathematics Learning through Data Mining (RT), pp. 590–591.
ICEIS-v1-2015-Castanon-PugaSG #algorithm #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.
KDD-2015-ArlorioCLLP #assessment #authentication #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-WickerKDSBKW0 #mining #smell: Cinema Data Mining: The Smell of Fear (JW, NK, BD, CS, EB, TK, JW, SK), pp. 1295–1304.
MLDM-2015-MoldovanM #learning #mining #performance #using: Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining (DM, SM), pp. 368–381.
CASE-2015-NouaouriSA #mining #predict #problem: Evidential data mining for length of stay (LOS) prediction problem (IN, AS, HA), pp. 1415–1420.
DATE-2015-FarkashHS #debugging #locality #mining: Data mining diagnostics and bug MRIs for HW bug localization (MF, BGH, BS), pp. 79–84.
PDP-2015-AltomareCT #energy #migration #mining #modelling #predict #virtual machine: Energy-Aware Migration of Virtual Machines Driven by Predictive Data Mining Models (AA, EC, DT), pp. 549–553.
ICLP-2015-Hallen #higher-order #logic #mining #specification: Higher Order Support in Logic Specification Languages for Data Mining Applications (MvdH), pp. 330–336.
EDM-2014-CrossleyKVM #assessment #mining: The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining (SAC, KK, LKV, DSM), pp. 300–303.
EDM-2014-FuentesRGV #mining #self #student #using: Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining (JF, CR, CGM, SV), pp. 327–328.
EDM-2014-MartinVAMJ #design #education #mining #research: Microgenetic Designs for Educational Data Mining Research: Poster (TM, NFV, AA, JM, PJ), pp. 387–388.
EDM-2014-MorrisonNSDKR #database #mining: Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining (DMM, BN, BS, VVD, CK, VR), pp. 335–336.
EDM-2014-RayBR #mining #using: Using Data Mining to Automate ADDIE (FR, KWB, RR), pp. 429–430.
EDM-2014-ShuQF #education #experience #learning #mining #student: Educational Data Mining and Analyzing of Student Learning Outcomes from the Perspective of Learning Experience (ZS, QFQ, LQF), pp. 359–360.
EDM-2014-SyedJG #mining: Data mining of undergraduate course evaluations (SJS, YHJ, LG), pp. 347–348.
ICSME-2014-ZhouTGG #classification #debugging #mining: Combining Text Mining and Data Mining for Bug Report Classification (YZ, YT, RG, HCG), pp. 311–320.
CIG-2014-GalliLL #design pattern #mining: Applying data mining to extract design patterns from Unreal Tournament levels (LG, PLL, DL), pp. 1–8.
HCI-AS-2014-Hussain #mining: Getting the Most from CRM Systems: Data Mining in SugarCRM, Finding Important Patterns (QH), pp. 693–699.
ICEIS-v1-2014-AmaralCRGTS #approach #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 #mining #roadmap: New Trends in Knowledge Driven Data Mining (CA, AS), pp. 346–351.
ICEIS-v1-2014-DominguezAERLE #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 #metaheuristic #mining: Extending the Hybridization of Metaheuristics with Data Mining to a Broader Domain (MG, IR, AP), pp. 395–406.
KDD-2014-Etzioni #future of #mining: The battle for the future of data mining (OE), p. 1.
KDD-2014-XuWCGSKDL #delivery #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 #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.
KDIR-2014-KurasEAH #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 #mining #recognition #using #word: Violence Recognition in Spanish Words using Data Mining (AFM, SBGB, JGVR), pp. 210–216.
KEOD-2014-Talia #big data #distributed #information management #mining: Big Data Mining Services and Distributed Knowledge Discovery Applications on Clouds (DT), pp. 1–5.
KMIS-2014-VelosoPSSRA0 #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-KuleshovB #learning #mining: Manifold Learning in Data Mining Tasks (APK, AVB), pp. 119–133.
MLDM-2014-WangLK #concurrent #mining: Applications of Concurrent Sequential Patterns in Protein Data Mining (CW, JL, MK), pp. 243–257.
RecSys-2014-JannachF #mining #modelling #process #recommendation: Recommendation-based modeling support for data mining processes (DJ, SF), pp. 337–340.
CASE-2014-HungCYDYW #behaviour #mining: Data mining for analysing kiosk usage behavior patterns (YSH, KLBC, CTY, GFD, YHY, NCW), pp. 1115–1120.
DAC-2014-LinWC #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 #mining: Data Mining In EDA — Basic Principles, Promises, and Constraints (LCW, MSA), p. 6.
DATE-2014-LagraaTP #mining #scalability #simulation #using: Scalability bottlenecks discovery in MPSoC platforms using data mining on simulation traces (SL, AT, FP), pp. 1–6.
SIGMOD-2013-AchtertKSZ #3d #coordination #interactive #mining: Interactive data mining with 3D-parallel-coordinate-trees (EA, HPK, ES, AZ), pp. 1009–1012.
SIGMOD-2013-OrdonezGGCBQ #algorithm #as a service #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.
ITiCSE-2013-MedinaPGR #education #learning #mining #programming #using: Assistance in computer programming learning using educational data mining and learning analytics (CFM, JRPP, VMÁG, MdPPR), pp. 237–242.
CIG-2013-ChoK #comparison #mining: Comparison of human and AI bots in StarCraft with replay data mining (HCC, KJK), pp. 1–2.
ICEIS-v1-2013-al-KetbiC #integration #mining: Integration of Decision Support Systems and Data Mining for Improved Decision Making (OaK, MC), pp. 482–489.
CIKM-2013-Giles #big data #information management #mining: Scholarly big data: information extraction and data mining (CLG), pp. 1–2.
KDD-2013-EmersonWN #mining #profiling: A data mining driven risk profiling method for road asset management (DE, JW, RN), pp. 1267–1275.
KDD-2013-WangDYWCSI #clustering #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-ZengJZLLLSZLDLW #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-PereiraRT #mining #source code #student: Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs (RTP, ACR, JJT), pp. 136–142.
MLDM-2013-GaoD #distributed #mining #performance #using: Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow (JG, JD), pp. 69–83.
MLDM-2013-ValencioKMSM #3d #mining #visualisation: 3D Geovisualisation Techniques Applied in Spatial Data Mining (CRV, TK, CAdM, RCGdS, JMM), pp. 57–68.
DATE-2013-LagraaTP #concurrent #data access #identification #memory management #mining #simulation: Data mining MPSoC simulation traces to identify concurrent memory access patterns (SL, AT, FP), pp. 755–760.
WCRE-2012-ZiftciK #feature model #mining #using: Feature Location Using Data Mining on Existing Test-Cases (CZ, IK), pp. 155–164.
ICEIS-v2-2012-LukaszewskiJL #mining #ontology #semantics #using: Attribute Value Ontology — Using Semantics in Data Mining (TL, JJ, AL), pp. 329–334.
KDD-2012-Holmes #mining: Developing data mining applications (GH), p. 225.
KDD-2012-Lin #case study #experience #machine learning #mining: Experiences and lessons in developing industry-strength machine learning and data mining software (CJL), p. 1176.
KDD-2012-MaoCCLKB #approach #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-YuZSWWQZ #analysis #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.
KDIR-2012-BhattacharjeeBG #mining #network #optimisation #using: Product Assortment Decisions for a Network of Retail Stores using Data Mining with Optimization (SB, FB, RDG), pp. 319–323.
KEOD-2012-KhairMZ #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 #mining #modelling #pervasive #predict: Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine (FP, FP, MFS), pp. 81–88.
CASE-2012-HoSY #mining #modelling: Data Mining of Life Log for Developing a User model-based Service Application (YH, ESS, TY), pp. 757–760.
ICLP-2012-BlockeelBBCP #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.
SIGMOD-2011-OrdonezP #algorithm #mining: One-pass data mining algorithms in a DBMS with UDFs (CO, SKP), pp. 1217–1220.
VLDB-2011-JinLLH #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.
MSR-2011-Whitehead #game studies #mining #what: Fantasy, farms, and freemium: what game data mining teaches us about retention, conversion, and virality (JW), p. 1.
CIG-2011-AsheSK #machine learning #mining #named: Keynotes: Data mining and machine learning applications in MMOs (GA, NRS, JHK).
ICEIS-v1-2011-SantosP #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 #mining: Data Mining on Dengue Virus Disease (DT, PS, NS), pp. 32–41.
CIKM-2011-OrdonezG #database #mining #query #relational #sql: A data mining system based on SQL queries and UDFs for relational databases (CO, CGA), pp. 2521–2524.
KDD-2011-BatistaKMR #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 #framework #mining: An information theoretic framework for data mining (TDB), pp. 564–572.
KDD-2011-Boire #case study #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 #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-Inchiosa #mining #scalability #using: Accelerating large-scale data mining using in-database analytics (MEI), p. 778.
KDD-2011-KaufmanRP #detection #mining: Leakage in data mining: formulation, detection, and avoidance (SK, SR, CP), pp. 556–563.
KDD-2011-McCloskeyKIKB #behaviour #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 #mining: Differentially private data release for data mining (NM, RC, BCMF, PSY), pp. 493–501.
KDD-2011-Rejto #information management #mining #research: Knowledge discovery and data mining in pharmaceutical cancer research (PAR), p. 781.
KDD-2011-VijayaraghavanK #machine learning #mining #online: Applications of data mining and machine learning in online customer care (RV, PVK), p. 779.
KDD-2011-ZhengSTLLC #challenge #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.
MLDM-2011-TalbertHT #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 #fault #locality #mining #multi: Multiple Fault Localization with Data Mining (PC, MD, SF, OR), pp. 238–243.
SEKE-2011-WuXKP #analysis #debugging #mining #named #reliability: BUGMINER: Software Reliability Analysis Via Data Mining of Bug Reports (LW, BX, GEK, RJP), pp. 95–100.
PDP-2011-CesarioT #distributed #framework #grid #mining: A Failure Handling Framework for Distributed Data Mining Services on the Grid (EC, DT), pp. 70–79.
SIGMOD-2010-OrdonezG #database #mining #research: Database systems research on data mining (CO, JGG), pp. 1253–1254.
EDM-2010-BernauerP #mining #student: Data Mining of both Right and Wrong Answers from a Mathematics and a Science M/C Test given Collectively to 11, 228 Students from India in years 4, 6 and 8 (JB, JP), pp. 273–274.
EDM-2010-DominguezYC #generative #mining #python: Data Mining for Generating Hints in a Python Tutor (AKD, KY, JRC), pp. 91–100.
EDM-2010-FalakmasirH #education #mining #using: Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning (MHF, JH), pp. 241–248.
EDM-2010-KrugerMW10a #data analysis #mining: When Data Exploration and Data Mining meet while Analysing Usage Data of a Course (AK, AM, BW), pp. 305–306.
EDM-2010-VialardiCBVEPO #case study #mining #student: A Case Study: Data Mining Applied to Student Enrollment (CVS, JC, AB, DV, JE, JPP, AO), pp. 333–334.
MSR-2010-NussbaumZ #assurance #database #metadata #mining #quality: The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining (LN, SZ), pp. 52–61.
ICEIS-AIDSS-2010-CarvalhoSP #mining: Swarm Intelligence for Rule Discovery in Data Mining (ABdC, TS, AP), pp. 314–319.
ICEIS-AIDSS-2010-Vilas-BoasSPSR #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-ZhangOCK #case study #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 #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.
KDD-2010-Feldman #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 #difference #mining #privacy: Data mining with differential privacy (AF, AS), pp. 493–502.
KDD-2010-KarguptaGF #generative #mining: The next generation of transportation systems, greenhouse emissions, and data mining (HK, JG, WF), pp. 1209–1212.
KDD-2010-KarguptaSG #distributed #mining #overview #performance: MineFleet®: an overview of a widely adopted distributed vehicle performance data mining system (HK, KS, MG), pp. 37–46.
KDD-2010-KumarGM #fault #health #mining #predict: Data mining to predict and prevent errors in health insurance claims processing (MK, RG, ZSM), pp. 65–74.
KDD-2010-Lu #industrial #mining #online: Data mining in the online services industry (QL), pp. 1–2.
KDD-2010-YangNSS #mining #privacy: Collusion-resistant privacy-preserving data mining (BY, HN, IS, JS), pp. 483–492.
KDD-2010-ZhengSTLLCH #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 #mining #modelling: Tactical Analysis Modeling through Data Mining — Pattern Discovery in Racket Sports (ATA, WAK, JKV), pp. 176–181.
KDIR-2010-CorreiaCL #architecture #collaboration #mining: An Architecture for Collaborative Data Mining (FC, RC, JCL), pp. 467–470.
KDIR-2010-Rauch #logic #mining #semantics #web: Logic of Discovery, Data Mining and Semantic Web — Position Paper (JR), pp. 342–351.
KDIR-2010-Vazquez-RodriguezPGFC #mining #visual notation: A New Visual Data Mining Tool for gvSIG GIS (RVR, CPR, IYGH, AFM, JCTC), pp. 428–431.
SEKE-2010-SilvaS #classification #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.
SAC-2010-CeciALM #approach #mining #ranking #relational: Complex objects ranking: a relational data mining approach (MC, AA, CL, DM), pp. 1071–1077.
SAC-2010-ChengSMZ #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-KatevaLRSTR #architecture #mining: SE-155 DBSA: a device-based software architecture for data mining (JK, PL, TR, JS, LT, JR), pp. 2273–2280.
SAC-2010-MarinhoCDFBBL #education #framework #mining #ontology: An ontology-based software framework to provide educational data mining (TM, EdBC, DD, RF, LMB, IIB, HPLL), pp. 1433–1437.
DATE-2010-VasudevanSPTTJ #automation #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.
PDP-2010-KomashinskiyK #detection #mining: Malware Detection by Data Mining Techniques Based on Positionally Dependent Features (DK, IVK), pp. 617–623.
ICDAR-2009-KizuYTGS #2d #mining: 2D CAD Data Mining Based on Spatial Relation (HK, JY, TT, KG, NS), pp. 326–330.
SIGMOD-2009-WangYGYTWLP #case study #communication #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.
EDM-2009-AnayaB #approach #collaboration #framework #mining: A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks (ARA, JB), pp. 210–219.
EDM-2009-RomeroVGCG #collaboration #education #mining: Collaborative Data Mining Tool for Education (CR, SV, EG, CdC, MG), pp. 299–308.
EDM-2009-SacinASO #education #mining #recommendation #using: Recommendation in Higher Education Using Data Mining Techniques (CVS, JBA, LS, AO), pp. 191–199.
CIG-2009-WeberM #approach #mining #predict: A data mining approach to strategy prediction (BGW, MM), pp. 140–147.
DHM-2009-NamA #image #mining: Data Mining of Image Segments Data with Reduced Neurofuzzy System (DHN, EA), pp. 710–716.
HIMI-DIE-2009-HorvathLK #analysis #approach #mining #usability: Usability Analyses of CRM Systems in Call Centers: The Data Mining Approach (ÁH, LL, AK), pp. 40–48.
ICEIS-AIDSS-2009-BratuP #mining #preprocessor #towards: Towards a Unified Strategy for the Preprocessing Step in Data Mining (CVB, RP), pp. 230–235.
ICEIS-AIDSS-2009-ChenC #mining: The Role of Data Mining Techniques in Emergency Management (NC, AC), pp. 118–123.
ICEIS-J-2009-CunhaAM #mining #reuse: Knowledge Reuse in Data Mining Projects and Its Practical Applications (RCLVC, PJLA, SRdLM), pp. 317–324.
ICEIS-J-2009-FritzscheML #analysis #concept #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.
CIKM-2009-ChenPBSM #exclamation #lessons learnt #mining: Practical lessons of data mining at Yahoo! (YC, DP, PB, AS, AM), pp. 1047–1056.
CIKM-2009-PitonBBG #mining: Domain driven data mining to improve promotional campaign ROI and select marketing channels (TP, JB, HB, FG), pp. 1057–1066.
KDD-2009-DaruruMWG #clustering #data flow #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-Hand #mining #modelling #tool support: Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools (DJH), pp. 1–2.
KDD-2009-HanhijarviOVPTM #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-Last #mining: Improving data mining utility with projective sampling (ML), pp. 487–496.
KDD-2009-Mannila #mining: Randomization methods in data mining (HM), pp. 5–6.
KDD-2009-PatnaikMSR #mining #using: Sustainable operation and management of data center chillers using temporal data mining (DP, MM, RKS, NR), pp. 1305–1314.
KDD-2009-Srivastava #mining: Data mining at NASA: from theory to applications (ANS), pp. 7–8.
KDD-2009-YeK #mining: Time series shapelets: a new primitive for data mining (LY, EJK), pp. 947–956.
KDIR-2009-PenaVP #mining: Explorative Data Mining for the Sizing of Population Groups (IP, HLV, EP), pp. 152–159.
KDIR-2009-WohrerZDB #composition #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 #mining #privacy: Privacy-Preserving Collaborative Data Mining (JZ), p. 15.
KEOD-2009-Zhan #collaboration #mining #privacy: Privacy-Preserving Collaborative Data Mining (JZ), p. 15.
KMIS-2009-Zhan #collaboration #mining #privacy: Privacy-Preserving Collaborative Data Mining (JZ), p. 15.
MLDM-2009-FernandezBFM #automation #mining: Assisting Data Mining through Automated Planning (FF, DB, SF, DMM), pp. 760–774.
SEKE-2009-AlvaresOHB #framework #mining #preprocessor: A Framework for Trajectory Data Preprocessing for Data Mining (LOA, GO, CAH, VB), pp. 698–702.
SEKE-2009-CellierDFR #fault #locality #mining #named #process: DeLLIS: A Data Mining Process for Fault Localization (PC, MD, SF, OR), pp. 432–437.
PPoPP-2009-MaA #compilation #mining #runtime: A compiler and runtime system for enabling data mining applications on gpus (WM, GA), pp. 287–288.
SIGMOD-2008-Ramaswamy #mining: Extreme data mining (SR), pp. 1–2.
EDM-2008-HubscherP #mining: Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge (RH, SP), pp. 97–106.
EDM-2008-RomeroVEH #algorithm #mining #student: Data Mining Algorithms to Classify Students (CR, SV, PGE, CH), pp. 8–17.
SIGITE-2008-Kalathur #education #experience #mining #online #student: Enriching student experience with student driven content while teaching an online data mining class (SK), pp. 125–130.
MSR-2008-Bernstein #how #mining: How to learn enough data mining to be dangerous in 60 minutes (AB), pp. 77–78.
ICEIS-AIDSS-2008-BiscarriMLGBM #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 #mining #ontology #process: An Ontology Driven Data Mining Process (LB, MC), pp. 54–61.
ICEIS-AIDSS-2008-JansLV #case study #mining #reduction: Internal Fraud Risk Reduction — Results of a Data Mining Case Study (MJ, NL, KV), pp. 161–166.
ICEIS-DISI-2008-Gorea #architecture #concept #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-SchultK #adaptation #automation #concept #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 #how #mining #process #question #semantics: How to Semantically Enhance a Data Mining Process? (LB, MC), pp. 103–116.
CIKM-2008-Agrawal #mining: Humane data mining (RA), pp. 1–2.
KDD-2008-ChoRC #identification #mining #network: Reconstructing chemical reaction networks: data mining meets system identification (YJC, NR, YC), pp. 142–150.
KDD-2008-GrossmanG #mining #performance #using: Data mining using high performance data clouds: experimental studies using sector and sphere (RLG, YG), pp. 920–927.
KDD-2008-KotsifakosNVT #mining #modelling #named: Pattern-Miner: integrated management and mining over data mining models (EEK, IN, YV, YT), pp. 1081–1084.
KDD-2008-PedreschiRT #mining: Discrimination-aware data mining (DP, SR, FT), pp. 560–568.
KDD-2008-ShengPI #mining #multi #quality #using: Get another label? improving data quality and data mining using multiple, noisy labelers (VSS, FJP, PGI), pp. 614–622.
RE-2008-Castro-HerreraDCM #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.
HPDC-2008-ShrinivasN #detection #grid #mining: Issues in applying data mining to grid job failure detection and diagnosis (LS, JFN), pp. 239–240.
PDP-2008-GrossF #communication #feedback #mining #named #ubiquitous: CoDaMine: Communication Data Mining for Feedback and Control in Ubiquitous Environments (TG, MF), pp. 539–546.
ICDAR-2007-CeciBPM #approach #detection #mining #order: A Data Mining Approach to Reading Order Detection (MC, MB, GP, DM), pp. 924–928.
SIGMOD-2007-VardeRS #mining #named #optimisation #process #visual notation: AutoDomainMine: a graphical data mining system for process optimization (ASV, EAR, RDSJ), pp. 1103–1105.
MSR-2007-WeissgerberPB #detection #developer #how #mining #visual notation: Visual Data Mining in Software Archives to Detect How Developers Work Together (PW, MP, MB), p. 9.
WCRE-2007-RaberL #debugging #mining #using: Emulated Breakpoint Debugger and Data Mining Using Detours (JR, EL), pp. 271–272.
HCI-AS-2007-XueL #distributed #mining #modelling #research #similarity: Research of Distributed Data Mining Association Rules Model Based on Similarity (SX, ZL), pp. 1180–1189.
HIMI-MTT-2007-NishimuraH #approach #case study #fault #mining #visualisation: The Study of Past Working History Visualization for Supporting Trial and Error Approach in Data Mining (KN, MH), pp. 327–334.
ICEIS-AIDSS-2007-SokolovaF #architecture #assessment #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 #mining #similarity: Similarity Assessment in a CBR Application for Clickstream Data Mining Plans Selection (CW, OB), pp. 137–144.
KDD-2007-CotofreiS #mining #probability #process: Stochastic processes and temporal data mining (PC, KS), pp. 183–190.
KDD-2007-GaoESCX #consistency #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-GuoZXF #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-Parthasarathy #learning #mining: Data mining at the crossroads: successes, failures and learning from them (SP), pp. 1053–1055.
MLDM-2007-SadoddinG #case study #comparative #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 #mining #privacy #probability #re-engineering: Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining (VYFT, SKN), pp. 76–90.
SAC-2007-FattaF #distributed #mining #multi: A customizable multi-agent system for distributed data mining (GDF, GF), pp. 42–47.
CASE-2007-RamachandranEMB #health #mining: Data Mining in Military Health Systems — Clinical and Administrative Applications (SR, ME, RJM, PCB), pp. 158–163.
DAC-2007-WangBA #correlation #mining #perspective: Design-Silicon Timing Correlation A Data Mining Perspective (LCW, PB, MSA), pp. 384–389.
DATE-2007-BabighianKV #interactive #mining #optimisation: Interactive presentation: PowerQuest: trace driven data mining for power optimization (PB, GK, MYV), pp. 1078–1083.
VLDB-2006-LeglerLR #mining: Data Mining with the SAP Netweaver BI Accelerator (TL, WL, AR), pp. 1059–1068.
ITiCSE-2006-MarkovR #mining: An introduction to the WEKA data mining system (ZM, IR), pp. 367–368.
ICEIS-AIDSS-2006-BoudjeloudP #interactive #mining: Semi Interactive Method for Data Mining (LB, FP), pp. 3–10.
ICEIS-AIDSS-2006-GollerHS #algorithm #mining: Beneficial Sequential Combination of Data Mining Algorithms (MG, MH, MS), pp. 135–143.
ICEIS-AIDSS-2006-PintoGS #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 #mining #process #visual notation: Context of Use Analysis — Activity Checklist for Visual Data Mining (EPFB, FP), pp. 45–50.
ICPR-v1-2006-CantoniLL #challenge #distributed #mining #network: Challenges for Data Mining in Distributed Sensor Networks (VC, LL, PL), pp. 1000–1007.
ICPR-v3-2006-VilchesEVT #mining #recognition: Data Mining Applied to Acoustic Bird Species Recognition (EV, IAE, EEV, CET), pp. 400–403.
KDD-2006-AggarwalPZ #mining #on the #privacy: On privacy preservation against adversarial data mining (CCA, JP, BZ), pp. 510–516.
KDD-2006-Cavaretta #challenge #mining: Data mining challenges in the automotive domain (MC), p. 836.
KDD-2006-GionisMMT #mining: Assessing data mining results via swap randomization (AG, HM, TM, PT), pp. 167–176.
KDD-2006-ManiyarN #algorithm #mining #using #visual notation #visualisation: Visual data mining using principled projection algorithms and information visualization techniques (DMM, ITN), pp. 643–648.
KDD-2006-McCallum #information management #mining: Information extraction, data mining and joint inference (AM), p. 835.
KDD-2006-MierswaWKSE #agile #mining #named #prototype: YALE: rapid prototyping for complex data mining tasks (IM, MW, RK, MS, TE), pp. 935–940.
KDD-2006-Piatetsky-ShapiroGDFGZ #challenge #mining #question: Is there a grand challenge or X-prize for data mining? (GPS, RG, CD, RF, LG, MJZ), pp. 954–956.
KDD-2006-ZhaoLBX #identification #mining: Opportunity map: identifying causes of failure — a deployed data mining system (KZ, BL, JB, WX), pp. 892–901.
SEKE-2006-CazellaA #architecture #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-HungL #mining #performance #using: Using Data Mining Schemes for Improvement on System Performance in Virtual Environments (SSH, DSML), pp. 61–66.
SAC-2006-AbidinP #classification #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-GamaP #data type #mining: Discretization from data streams: applications to histograms and data mining (JG, CP), pp. 662–667.
SAC-2006-GuoW #mining #on the #privacy #using: On the use of spectral filtering for privacy preserving data mining (SG, XW), pp. 622–626.
SAC-2006-MaC #algorithm #array #mining #network #novel: A novel data mining algorithm for reconstructing gene regulatory networks from microarray data (PCHM, KCCC), pp. 202–203.
HPCA-2006-JaleelMJ #case study #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 #distributed #mining: Troubleshooting Distributed Systems via Data Mining (DAC, DT, NVC), pp. 309–312.
HPDC-2006-DuanPF #detection #fault #grid #predict: Data Mining-based Fault Prediction and Detection on the Grid (RD, RP, TF), pp. 305–308.
PODS-2005-LiLWFT #mining #perspective: Relative risk and odds ratio: a data mining perspective (HL, JL, LW, MF, YPT), pp. 368–377.
ITiCSE-2005-Roiger #education #mining: Teaching an introductory course in data mining (RJR), p. 415.
TLCA-2005-MatwinFHC #formal method #mining #privacy #using: Privacy in Data Mining Using Formal Methods (SM, APF, ITH, VC), pp. 278–292.
SOFTVIS-2005-BurchDW #mining #visual notation: Visual data mining in software archives (MB, SD, PW), pp. 37–46.
ICEIS-v2-2005-KianmehrZNOA #approach #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-SantosPS #clustering #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 #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 #metric #mining #quality #tool support #visual notation: Visual Data Mining Tools: Quality Metrics Definition and Application (EPFB, FP), pp. 98–103.
KDD-2005-KalosR #industrial #mining: Data mining in the chemical industry (ANK, TR), pp. 763–769.
MLDM-2005-KuhlmannVLT #mining #simulation: Data Mining on Crash Simulation Data (AK, RMV, CL, CAT), pp. 558–569.
MLDM-2005-MottlKSM #kernel #mining #multi: Principles of Multi-kernel Data Mining (VM, OK, OS, IBM), pp. 52–61.
MLDM-2005-XiaWZL #mining #modelling #random: Mixture Random Effect Model Based Meta-analysis for Medical Data Mining (YX, SW, CZ, SL), pp. 630–640.
SEKE-2005-BogornyEA #framework #mining: A Reuse-based Spatial Data Preparation Framework for Data Mining (VB, PME, LOA), pp. 649–652.
SEKE-2005-ChanS #mining #rule-based: From Data to Knowledge: an Integrated Rule-Based Data Mining System (CCC, ZS), pp. 508–513.
ASE-2005-DenmatDR #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.
PPoPP-2005-CongHHP #framework #mining #parallel: A sampling-based framework for parallel data mining (SC, JH, JH, DAP), pp. 255–265.
VLDB-2004-AgrawalS #mining #question: Whither Data Mining? (RA, RS), p. 9.
IWPC-2004-KanellopoulosT #c++ #clustering #comprehension #mining #source code: Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs (YK, CT), pp. 214–225.
ICEIS-v2-2004-BangDHD #concept #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-DoP #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-KuusikLV #clique #mining: Data Mining: Pattern Mining as a Clique Extracting Task (RK, GL, LV), pp. 519–522.
ICEIS-v2-2004-MataRR #case study #development #mining: Applying Data Mining to Software Development Projects: A Case Study (JMV, JLÁM, JCRS, IR), pp. 54–60.
ICEIS-v2-2004-Poulet #mining #towards #visual notation: Towards Visual Data Mining (FP), pp. 349–356.
ICEIS-v2-2004-ZarateAPR #mining: Data Mining Application to Obtain Profiles of Patients with Nephrolithiasis (LEZ, PA, RP, TR), pp. 104–109.
ICEIS-v4-2004-LimaEMFC #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 #mining #tool support #usability #visual notation: Usability of Visual Data Mining Tools (EPFB, FP), pp. 254–258.
ICEIS-v5-2004-JantkeLGGTT #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.
KDD-2004-AbajoDLC #case study #delivery #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-CaruanaN #analysis #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-DavidsonGST #algorithm #approach #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 #mining #problem #segmentation: A microeconomic data mining problem: customer-oriented catalog segmentation (ME, RG, WJ, ZH), pp. 557–562.
KDD-2004-Heckerman #mining #modelling #visual notation: Graphical models for data mining (DH), p. 2.
KDD-2004-KantarciogluJC #mining #privacy #question: When do data mining results violate privacy? (MK, JJ, CC), pp. 599–604.
KDD-2004-KeoghLR #mining #towards: Towards parameter-free data mining (EJK, SL, C(R), pp. 206–215.
KDD-2004-ZhangZK #approach #category theory #image #mining #modelling: A data mining approach to modeling relationships among categories in image collection (RZ, Z(Z, SK), pp. 749–754.
KDD-2004-ZhuL #mining #privacy: Optimal randomization for privacy preserving data mining (MYZ, LL), pp. 761–766.
SAC-2004-HuP #approach #database #detection #mining: A data mining approach for database intrusion detection (YH, BP), pp. 711–716.
HPDC-2004-GilburdSW #mining #privacy: Privacy-Preserving Data Mining on Data Grids in the Presence of Malicious Participants (BG, AS, RW), pp. 225–234.
PDP-2004-BorzemskiLN #analysis #internet #mining #performance: Application of Data Mining for the Analysis of Internet Path Performance (LB, LL, ZN), pp. 54–59.
JCDL-2003-LeroyCMEFKHLXMN #mining #named: Genescene: Biomedical Text And Data Mining (GL, HC, JDM, SE, RRF, KLK, ZH, JL, JJX, DM, TGN), pp. 116–118.
PODS-2003-EvfimievskiGS #mining #privacy: Limiting privacy breaches in privacy preserving data mining (AVE, JG, RS), pp. 211–222.
PODS-2003-RameshMZ #mining #theory and practice: Feasible itemset distributions in data mining: theory and application (GR, WM, MJZ), pp. 284–295.
VLDB-2003-HinneburgLH #database #mining #named: COMBI-Operator: Database Support for Data Mining Applications (AH, WL, DH), pp. 429–439.
VLDB-2003-LubbersGJ #development #quality #tool support: Systematic Development of Data Mining-Based Data Quality Tools (DL, UG, MJ), pp. 548–559.
VLDB-2003-WangZL #data type #mining #named #sql: ATLAS: A Small but Complete SQL Extension for Data Mining and Data Streams (HW, CZ, CL), pp. 1113–1116.
ICEIS-v2-2003-GalianoCMSB #mining #usability: Usability Issues in Data Mining Systems (FBG, JCC, NM, JMS, IJB), pp. 418–421.
ICEIS-v2-2003-KrolikowskiMP #mining #query: Set-Oriented Indexes for Data Mining Queries (ZK, MM, JP), pp. 316–323.
ICEIS-v2-2003-KuusikL #approach #mining #using: An Approach of Data Mining Using Monotone Systems (RK, GL), pp. 482–485.
ICEIS-v2-2003-MaciasVSR #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 #mining: A New Approach of Data Mining: The Meta Projectories (CP, SP), pp. 515–518.
ICEIS-v3-2003-HoangHB #detection #mining: Intrusion Detection Based on Data Mining (XDH, JH, PB), pp. 341–346.
KDD-2003-Aggarwal #design #distance #mining #towards: Towards systematic design of distance functions for data mining applications (CCA), pp. 9–18.
KDD-2003-DuZ #mining #privacy #random #using: Using randomized response techniques for privacy-preserving data mining (WD, JZZ), pp. 505–510.
KDD-2003-FramAD #empirical #mining #safety: Empirical Bayesian data mining for discovering patterns in post-marketing drug safety (DMF, JSA, WD), pp. 359–368.
KDD-2003-LastFK #approach #automation #mining #testing: The data mining approach to automated software testing (ML, MF, AK), pp. 388–396.
KDD-2003-SequeiraZSC #locality #mining #source code: Improving spatial locality of programs via data mining (KS, MJZ, BKS, CDC), pp. 649–654.
KDD-2003-WeissBKD #knowledge-based #mining: Knowledge-based data mining (SMW, SJB, SK, SD), pp. 456–461.
KDD-2003-YiLL #mining #web: Eliminating noisy information in Web pages for data mining (LY, BL, XL), pp. 296–305.
KDD-2003-ZhangSY #mining: Applying data mining in investigating money laundering crimes (Z(Z, JJS, PSY), pp. 747–752.
MLDM-2003-Bunke #graph #machine learning #mining #tool support: Graph-Based Tools for Data Mining and Machine Learning (HB), pp. 7–19.
SEKE-2003-ChapinK #metric #mining #re-engineering: Validative measurement in software engineering: a data mining example (NC, MKM), pp. 626–633.
SEKE-2003-WuS #approach #mining: A Data Mining Approach for Dynamic Software Project Plan Tracking (CSW, DBS), pp. 634–638.
PADL-2003-ClareK #functional #lazy evaluation #mining: Data Mining the Yeast Genome in a Lazy Functional Language (AC, RDK), pp. 19–36.
SAC-2003-BarbaraLLJC #detection #mining: Bootstrapping a Data Mining Intrusion Detection System (DB, YL, JLL, SJ, JC), pp. 421–425.
SAC-2003-HuaJVT #algebra #analysis #approach #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-LiZO #distributed #mining #modelling #similarity: A New Distributed Data Mining Model Based on Similarity (TL, SZ, MO), pp. 432–436.
SAC-2003-Meo #mining #optimisation: Optimization of a Language for Data Mining (RM), pp. 437–444.
PPoPP-2003-Kazar #mining #performance #scalability: High performance spatial data mining for very large data-sets (BMK), p. 1.
VLDB-2002-Faloutsos #analysis #mining #similarity: Sensor Data Mining: Similarity Search and Pattern Analysis (CF).
ICALP-2002-Mannila #mining #problem: Local and Global Methods in Data Mining: Basic Techniques and Open Problems (HM), pp. 57–68.
ICEIS-2002-CarrascoMG #flexibility #mining #named #query: FSQL: A Flexible Query Language for Data Mining (RAC, MAVM, JG), pp. 50–56.
ICEIS-2002-KrishnaswamyLZ #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-MengYCC #information management #mining: Data Mining Mechanisms in Knowledge Management System (IHM, WPY, WCC, LPC), pp. 399–404.
ICEIS-2002-SanchezSVACD #mining #using: Using Data Mining Techniques to Analyze Correspondences between Partitions (DS, JMS, MAVM, VA, JC, GD), pp. 179–186.
ICEIS-2002-SantosNASR #classification #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 #mining #parallel #performance #taxonomy: A Taxonomy for Inter-Model Parallelism in High Performance Data Mining (LT, DT, KAS), pp. 534–539.
CIKM-2002-Faloutsos #mining #network #self: Future directions in data mining: streams, networks, self-similarity and power laws (CF), p. 93.
CIKM-2002-PanF #library #mining #quote #video: “GeoPlot”: spatial data mining on video libraries (JYP, CF), pp. 405–412.
KDD-2002-AlqallafKMZ #correlation #mining #robust #scalability: Scalable robust covariance and correlation estimates for data mining (FAA, KPK, RDM, RHZ), pp. 14–23.
KDD-2002-KeoghK #benchmark #empirical #metric #mining #on the #overview: On the need for time series data mining benchmarks: a survey and empirical demonstration (EJK, SK), pp. 102–111.
KDD-2002-LinLCY #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 #mining: Collusion in the U.S. crop insurance program: applied data mining (BBL, WLJ, ACL, RMR, SAS), pp. 594–598.
KDD-2002-PalmerGF #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-SequeiraZ #mining #named: ADMIT: anomaly-based data mining for intrusions (KS, MJZ), pp. 386–395.
KDD-2002-WuFS #approach #classification #mining #named: B-EM: a classifier incorporating bootstrap with EM approach for data mining (XW, JF, KRS), pp. 670–675.
SEKE-2002-PoleseTT #mining: A data mining based system supporting tactical decisions (GP, MT, GT), pp. 681–684.
SAC-2002-ChangJ #clustering #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 #framework #mining: A framework for data mining and KDD (IG), pp. 508–513.
SAC-2002-KrishnaswamyLZ #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-WangW #approach #mining #optimisation #query #relational: Optimizing relational store for e-catalog queries: a data mining approach (MW, XSW), pp. 1147–1152.
DAC-2002-LiuSRC #design #megamodelling #mining #scalability: Remembrance of circuits past: macromodeling by data mining in large analog design spaces (HL, AS, RAR, LRC), pp. 437–442.
PODS-2001-AgrawalA #algorithm #design #mining #on the #privacy #quantifier: On the Design and Quantification of Privacy Preserving Data Mining Algorithms (DA, CCA).
VLDB-2001-MargaritisFT #mining #named #performance #scalability: NetCube: A Scalable Tool for Fast Data Mining and Compression (DM, CF, ST), pp. 311–320.
VLDB-2001-SadriZZA #mining #query: A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services (RS, CZ, AMZ, JA), pp. 653–656.
ICEIS-v1-2001-ThorntonR #artificial reality #mining #network #using: Using Virtual Reality Data Mining for Network Management (KEBT, CR), pp. 340–344.
KDD-2001-AdderleyM #behaviour #case study #commit #mining #modelling: Data mining case study: modeling the behavior of offenders who commit serious sexual assaults (RA, PBM), pp. 215–220.
KDD-2001-BujaL #classification #mining: Data mining criteria for tree-based regression and classification (AB, YSL), pp. 27–36.
KDD-2001-Edelstein #mining #question: Data mining: are we there yet? (HE), p. 7.
KDD-2001-Elkan #challenge #lessons learnt #mining: Magical thinking in data mining: lessons from CoIL challenge 2000 (CE), pp. 426–431.
KDD-2001-GarckeG #mining #using: Data mining with sparse grids using simplicial basis functions (JG, MG), pp. 87–96.
KDD-2001-HueglinV #mining: Data mining techniques to improve forecast accuracy in airline business (CH, FV), pp. 438–442.
KDD-2001-Netz #database #developer #framework #mining #platform: Data mining platform for database developers (AN), p. 14.
KDD-2001-Ramakrishnan #collaboration #mining: Mass collaboration and data mining (RR), p. 4.
KDD-2001-TrainaTPF #mining #multi #named #scalability #tool support: Tri-plots: scalable tools for multidimensional data mining (AJMT, CTJ, SP, CF), pp. 184–193.
KDD-T-2001-FayyadRB #enterprise #mining: E-business enterprise data mining (UMF, NR, PSB), pp. 1–85.
KDD-T-2001-GallantPT #mining #web: Value-based data mining and web mining for CRM (SG, GPS, MT), pp. 325–390.
KDD-T-2001-KarguptaJ #distributed #mining #mobile #ubiquitous: Data mining “to go”: ubiquitous KDD for mobile and distributed environments (HK, AJ), pp. 186–263.
KDD-T-2001-Martin #mining #robust #statistics: Data mining for outliers with robust statistics (RDM), pp. 86–118.
LSO-2001-KrishnaswamyLZ #elicitation #mining: Knowledge Elicitation through Web-Based Data Mining Services (SK, SWL, ABZ), pp. 120–134.
LSO-2001-VossRMJ #collaboration #enterprise #mining: Collaboration Support for Virtual Data Mining Enterprises (AV, GR, SM, AJ), pp. 83–95.
MLDM-2001-PernerB #hybrid #mining: A Hybrid Tool for Data Mining in Picture Archiving System (PP, TPB), pp. 141–156.
MLDM-2001-SackK #evaluation #mining: Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining (US, MK), pp. 12–22.
MLDM-2001-SyG #analysis #approach #mining #statistics: Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data (BKS, AKG), pp. 128–140.
SEKE-2001-AlonsoCGM #mining: Combining Expert Knowledge and Data Mining in a Medical Diagnosis Domain (FA, JPCV, ÁLG, CM), pp. 412–419.
TOOLS-USA-2001-LiKLCL #algorithm #automation #mining #parallel: Automatic Data Mining by Asynchronous Parallel Evolutionary Algorithms (JL, ZK, YL, HC, PL), pp. 99–107.
ICSE-2001-Michail #library #mining #named #reuse: CodeWeb: Data Mining Library Reuse Patterns (AM), pp. 827–828.
HPDC-2001-KuntrarukP #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 #mining #privacy: Privacy-Preserving Data Mining (RA, RS), pp. 439–450.
SIGMOD-2000-PalmerF #clustering #mining: Density Biased Sampling: An Improved Method for Data Mining and Clustering (CRP, CF), pp. 82–92.
SIGMOD-2000-PeiMHZ #benchmark #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-RiedelFGN #for free #mining: Data Mining on an OLTP System (Nearly) for Free (ER, CF, GRG, DN), pp. 13–21.
VLDB-2000-ChoenniV #algorithm #design #implementation #mining: Design and Implementation of a Genetic-Based Algorithm for Data Mining (SC), pp. 33–42.
VLDB-2000-LakshmananJN #algebra #mining: The 3W Model and Algebra for Unified Data Mining (TJ, LVSL, RTN), pp. 21–32.
VLDB-2000-NetzCBF #database #integration #mining: Integration of Data Mining with Database Technology (AN, SC, JB, UMF), pp. 719–722.
VLDB-2000-Tsur #mining: Data Mining in the Bioinformatics Domain (ST), pp. 711–714.
CSMR-2000-SartipiKM #architecture #design #mining #using: Architectural Design Recovery using Data Mining Techniques (KS, KK, FM), pp. 129–140.
ICPR-v1-2000-YouB #mining #retrieval: Dynamic Shape Retrieval by Hierarchical Curve Matching, Snakes and Data Mining (JY, PB), pp. 5035–5038.
KDD-2000-BecherBF #automation #data analysis #mining #performance: Automating exploratory data analysis for efficient data mining (JDB, PB, EF), pp. 424–429.
KDD-2000-Bhattacharyya #algorithm #mining #modelling #multi #performance: Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing (SB), pp. 465–473.
KDD-2000-BrijsGSVW #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 #mining #privacy: Among those dark electronic mills: privacy and data mining (JC), p. 4.
KDD-2000-DhondGV #mining #optimisation: Data mining techniques for optimizing inventories for electronic commerce (AD, AG, SV), pp. 480–486.
KDD-2000-GardnerB #mining #problem: Data mining solves tough semiconductor manufacturing problems (MG, JB), pp. 376–383.
KDD-2000-KingKCD #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 #mining #student #using: Targeting the right students using data mining (YM, BL, CKW, PSY, SML), pp. 457–464.
KDD-2000-Papadimitriou #mining #on the: On certain rigorous approaches to data mining (CHP), p. 2.
KDD-2000-PenaFL #behaviour #detection #mining: Data mining to detect abnormal behavior in aerospace data (JMP, FF, SL), pp. 390–397.
KDD-2000-Stodder #mining: After the gold rush (invited talk, abstract only): data mining in the new economy (DS), p. 7.
KDD-2000-TanBHG #mining: Textual data mining of service center call records (PNT, HB, SAH, RPG), pp. 417–423.
KDD-2000-WangMSW #biology #case study #classification #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.
PADL-2000-HuCT #algorithm #analysis #mining: Calculating a New Data Mining Algorithm for Market Basket Analysis (ZH, WNC, MT), pp. 169–184.
ICSE-2000-Michail #library #mining #reuse #using: Data mining library reuse patterns using generalized association rules (AM), pp. 167–176.
SAC-2000-GoodwinM #mining #predict: Data Mining for Preterm Birth Prediction (LKG, SM), pp. 46–51.
HPDC-2000-HinkeN #grid #mining #power management: Data Mining on NASA’s Information Power Grid (THH, JN), pp. 292–293.
SIGMOD-1999-Chakrabarti #database #hypermedia #mining: Hypertext Databases and Data Mining (SC), p. 508.
KDD-1999-Agrawal #mining: Data Mining: Crossing the Chasm (RA), p. 2.
KDD-1999-BayP #category theory #detection #mining #set: Detecting Change in Categorical Data: Mining Contrast Sets (SDB, MJP), pp. 302–306.
KDD-1999-BuntineFP #automation #mining #source code #synthesis #towards: Towards Automated Synthesis of Data Mining Programs (WLB, BF, TP), pp. 372–376.
KDD-1999-HotzNPS #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-ManiDBD #mining #modelling #statistics: Statistics and Data Mining Techniques for Lifetime Value Modeling (DRM, JD, AB, PD), pp. 94–103.
KDD-1999-WangWLSSZ #algorithm #clustering #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-Holsheimer #mining #process: Data Mining by Business Users: Integrating Data Mining in Business Processes (MH), pp. 266–291.
MLDM-1999-HongW #mining #predict: Advanced in Predictive Data Mining Methods (SJH, SMW), pp. 13–20.
MLDM-1999-Sawaragi #effectiveness #interactive #mining: Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System (TS), pp. 180–194.
MLDM-1999-Scaringella #mining #monitoring #risk management: A Data Mining Application for Monitoring Environmental Risks (AS), pp. 209–215.
ASE-1999-Michail #library #mining #reuse: Data Mining Library Reuse Patterns in User-Selected Applications (AM), p. 24–?.
ADL-1998-AhonenHKV #documentation #mining: Applying Data Mining Techniques for Descriptive Phrase Extraction in Digital Document Collections (HA, OH, MK, AIV), pp. 2–11.
ADL-1998-ZaianeXH #data access #mining #roadmap #web: Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs (ORZ, MX, JH), pp. 19–29.
SIGMOD-1998-AgrawalGGR #automation #clustering #mining: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications (RA, JG, DG, PR), pp. 94–105.
SIGMOD-1998-LiS #mining #parallel: Free Parallel Data Mining (BL, DS), pp. 541–543.
SIGMOD-1998-NgLK #mining: A Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA) (KN, HL, HK), pp. 522–525.
SIGMOD-1998-ZaianeHLCC #mining #multi #named #prototype: MultiMediaMiner: A System Prototype for Multimedia Data Mining (ORZ, JH, ZNL, SHSC, JC), pp. 581–583.
VLDB-1998-George #mining #named #parallel: DMS: A Parallel Data Mining Server (FAWG), p. 702.
VLDB-1998-KornLKF #mining #paradigm #performance: Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining (FK, AL, YK, CF), pp. 582–593.
VLDB-1998-RiedelGF #mining #multi #scalability: Active Storage for Large-Scale Data Mining and Multimedia (ER, GAG, CF), pp. 62–73.
ICSM-1998-OcaC #identification #mining #using: Identification of Data Cohesive Subsystems Using Data Mining Techniques (CMdO, DLC), pp. 16–23.
KDD-1998-BerchtoldJR #diagrams #independence #mining #visual notation: Independence Diagrams: A Technique for Visual Data Mining (SB, HVJ, KAR), pp. 139–143.
KDD-1998-GrecuB #distributed #learning #mining: Coactive Learning for Distributed Data Mining (DLG, LAB), pp. 209–213.
KDD-1998-KellyHA #mining #performance: Defining the Goals to Optimise Data Mining Performance (MGK, DJH, NMA), pp. 234–238.
KDD-1998-LingL #mining #problem: Data Mining for Direct Marketing: Problems and Solutions (CXL, CL), pp. 73–79.
KDD-1998-NakhaeizadehS #algorithm #evaluation #mining #personalisation #towards: Towards the Personalization of Algorithms Evaluation in Data Mining (GN, AS), pp. 289–293.
KDD-1998-StaudtKR #mining: A Data Mining Support Environment and its Application on Insurance Data (MS, JUK, UR), pp. 105–111.
KDD-1998-Subramonian #mining: Defining diff as a Data Mining Primitive (RS), pp. 334–338.
TOOLS-ASIA-1998-WangH #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 #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 #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 #machine learning #mining: Data mining, Hypergraph Transversals, and Machine Learning (DG, RK, HM, HT), pp. 209–216.
SIGMOD-1997-HanKK #mining #parallel #scalability: Scalable Parallel Data Mining for Association Rules (EHH, GK, VK), pp. 277–288.
SIGMOD-1997-HanKS #mining #named #prototype: GeoMiner: A System Prototype for Spatial Data Mining (JH, KK, NS), pp. 553–556.
VLDB-1997-ShaferA #algorithm #mining #parallel #similarity: Parallel Algorithms for High-dimensional Similarity Joins for Data Mining Applications (JCS, RA), pp. 176–185.
VLDB-1997-WangYM #approach #grid #mining #named #statistics: STING: A Statistical Information Grid Approach to Spatial Data Mining (WW, JY, RRM), pp. 186–195.
CIKM-1997-YoonSP #mining #query #using: Intensional Query Processing Using Data Mining Approaches (SCY, IYS, EKP), pp. 201–208.
KDD-1997-AronisP #algorithm #mining #performance: Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation (JMA, FJP), pp. 119–122.
KDD-1997-BergstenSS #analysis #machine learning #mining: Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis (UB, JS, PS), pp. 127–130.
KDD-1997-BrunkKK #mining #named: MineSet: An Integrated System for Data Mining (CB, JK, RK), pp. 135–138.
KDD-1997-ChattratichatDGGHKSTY #challenge #mining #scalability: Large Scale Data Mining: Challenges and Responses (JC, JD, MG, YG, HH, MK, JS, HWT, DY), pp. 143–146.
KDD-1997-EngelsLS #mining: A Guided Tour through the Data Mining Jungle (RE, GL, RS), pp. 163–166.
KDD-1997-FeldmanKZ #documentation #mining #visualisation: Visualization Techniques to Explore Data Mining Results for Document Collections (RF, WK, AZ), pp. 16–23.
KDD-1997-KarguptaHS #architecture #distributed #mining #scalability: Scalable, Distributed Data Mining — An Agent Architecture (HK, IH, BS), pp. 211–214.
KDD-1997-MihalisinT #mining #performance #robust #visual notation: Fast Robust Visual Data Mining (TM, JT), pp. 231–234.
KDD-1997-NakhaeizadehS #algorithm #development #evaluation #metric #mining #multi: Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms (GN, AS), pp. 37–42.
KDD-1997-ZupanBBC #approach #composition #dataset #mining: A Dataset Decomposition Approach to Data Mining and Machine Discovery (BZ, MB, IB, BC), pp. 299–302.
TOOLS-ASIA-1997-Dai #approach #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-GoliP #mining #multi: Application of domain vector perfect hash join for multimedia data mining (VNRG, WP), pp. 334–339.
ILPS-1997-Mannila #database #induction #mining: Inductive Databases and Condensed Representations for Data Mining (HM), pp. 21–30.
PODS-1996-BettiniWJ #mining #multi #testing: Testing Complex Temporal Relationships Involving Multiple Granularities and Its Application to Data Mining (CB, XSW, SJ), pp. 68–78.
SIGMOD-1996-FukudaMMT #2d #algorithm #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 #mining: Data Mining Techniques (JH), p. 545.
VLDB-1996-MiningGroup #mining #visualisation: MineSet(tm): A System for High-End Data Mining and Visualization, p. 595.
VLDB-1996-ShaferAM #classification #mining #named #parallel #scalability: SPRINT: A Scalable Parallel Classifier for Data Mining (JCS, RA, MM), pp. 544–555.
VLDB-1996-ViverosNR #health #information management #mining: Applying Data Mining Techniques to a Health Insurance Information System (MSV, JPN, MJR), pp. 286–294.
AKDDM-1996-FayyadPS #information management #mining #overview #perspective: From Data Mining to Knowledge Discovery: An Overview (UMF, GPS, PS), pp. 1–34.
AKDDM-1996-HanF #induction #mining: Attribute-Oriented Induction in data Mining (JH, YF), pp. 399–421.
AKDDM-1996-Piatetsky-Shapiro #information management #internet #mining: Data Mining and Knowledge Discovery Internet Resources (GPS), pp. 593–595.
AKDDM-1996-ShenOMZ #mining: Metaqueries for Data Mining (WMS, KO, BGM, CZ), pp. 375–398.
AKDDM-1996-SimoudisLK #deduction #induction #mining #reasoning: Integrating Inductive and Deductive Reasoning for Data Mining (ES, BL, RK), pp. 353–373.
AKDDM-1996-Uthurusamy #challenge #information management #mining: From Data Mining to Knowledge Discovery: Current Challenges and Future Directions (RU), pp. 561–569.
ICML-1996-Mannila #machine learning #mining: Data Mining and Machine Learning (HM), p. 555.
KDD-1996-AgrawalMSSAB #mining: The Quest Data Mining System (RA, MM, JCS, RS, AA, TB), pp. 244–249.
KDD-1996-AgrawalS #database #mining #relational: Developing Tightly-Coupled Data Mining Applications on a Relational Database System (RA, KS), pp. 287–290.
KDD-1996-Fahner #interactive #mining: Data Mining with Sparse and Simplified Interaction Selection (GF), pp. 359–362.
KDD-1996-FawcettP #effectiveness #machine learning #mining #profiling: Combining Data Mining and Machine Learning for Effective User Profiling (TF, FJP), pp. 8–13.
KDD-1996-FayyadPS #framework #information management #mining #towards: Knowledge Discovery and Data Mining: Towards a Unifying Framework (UMF, GPS, PS), pp. 82–88.
KDD-1996-FlockhartR #approach #mining #search-based: A Genetic Algorithm-Based Approach to Data Mining (IWF, NJR), pp. 299–302.
KDD-1996-FultonKSW #induction #interactive #mining #towards: Local Induction of Decision Trees: Towards Interactive Data Mining (TF, SK, SS, DLW), pp. 14–19.
KDD-1996-GrossmanBNP #mining #optimisation: Data Mining and Tree-Based Optimization (RLG, HB, DN, HVP), pp. 323–326.
KDD-1996-JohnL #mining: Static Versus Dynamic Sampling for Data Mining (GHJ, PL), pp. 367–370.
KDD-1996-KontkanenMT #finite #mining #predict: Predictive Data Mining with Finite Mixtures (PK, PM, HT), pp. 176–182.
KDD-1996-Piatetsky-ShapiroBKKS #industrial #information management #mining #overview: 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 #mining: Data Mining and Model Simplicity: A Case Study in Diagnosis (GMP, MS), pp. 57–62.
KDD-1996-ShekMMN #distributed #mining #scalability: Scalable Exploratory Data Mining of Distributed Geoscientific Data (ECS, RRM, EM, KWN), pp. 32–37.
KDD-1996-ShenL #generative #mining: Metapattern Generation for Integrated Data Mining (WMS, BL), pp. 152–157.
KDD-1996-StolorzD #detection #mining #named #scalability: Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space (PES, CD), pp. 208–213.
KDD-1996-WrobelWSE #mining: Extensibility in Data Mining Systems (SW, DW, ES, WE), pp. 214–219.
SEKE-1996-ChangW #case study #mining: Scientific Data Mining: A Case Study (CYC, JTLW), pp. 100–107.
VLDB-1995-LuSL #approach #mining #named: NeuroRule: A Connectionist Approach to Data Mining (HL, RS, HL), pp. 478–489.
CIKM-1995-AnandBH #mining: The Role of Domain Knowledge in Data Mining (SSA, DAB, JGH), pp. 37–43.
CIKM-1995-ParkCY #mining #parallel #performance: Efficient Parallel and Data Mining for Association Rules (JSP, MSC, PSY), pp. 31–36.
KDD-1995-AgrawalP #mining: Active Data Mining (RA, GP), pp. 3–8.
KDD-1995-FeeldersLZ #case study #evaluation #mining: Data Mining for Loan Evaluation at ABN AMRO: A Case Study (AJF, AJFlL, JWvZ), pp. 106–111.
KDD-1995-HolsheimerKMT #database #mining: A Perspective on Databases and Data Mining (MH, MLK, HM, HT), pp. 150–155.
KDD-1995-SeshadriSW #feature model #mining: Feature Extraction for Massive Data Mining (VS, RS, SMW), pp. 258–262.
KDD-1995-StolorzNMMSSYNCMF #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.
VLDB-1994-NgH #clustering #effectiveness #mining #performance: Efficient and Effective Clustering Methods for Spatial Data Mining (RTN, JH), pp. 144–155.
KDD-1994-HolsheimerK #architecture #mining: Architectural Support for Data Mining (MH, MLK), pp. 217–228.
CIKM-1993-CrompC #image #mining #multi: Data Mining of Multi-dimensional Remotely Sensed Images (RFC, WJC), pp. 471–480.
ICML-1993-RaoVF #mining: Data Mining of Subjective Agricultural Data (RBR, TBV, TWF), pp. 244–251.