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Tag #data analysis

189 papers:

CGOCGO-2020-ShaikhhaSGO #multi #optimisation
Multi-layer optimizations for end-to-end data analytics (AS, MS, AG, DO), pp. 145–157.
ECSAECSA-2019-CastellanosPVVC #big data #deployment #overview
A Survey on Big Data Analytics Solutions Deployment (CC, BP, CAV, MDPV, DC), pp. 195–210.
ICPCICPC-2019-PeitekABPS #multi #named
CodersMUSE: multi-modal data exploration of program-comprehension experiments (NP, SA, AB, CP, JS), pp. 126–129.
FMFM-2019-Eschbach #concept #industrial #monitoring
Industrial Application of Event-B to a Wayside Train Monitoring System: Formal Conceptual Data Analysis (RE), pp. 738–745.
CIKMCIKM-2019-ElMS #learning #named
ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning (OBE, TM, AS), pp. 2873–2876.
CIKMCIKM-2019-MaAWSCTY #graph #learning #similarity
Deep Graph Similarity Learning for Brain Data Analysis (GM, NKA, TLW, DS, MWC, NBTB, PSY), pp. 2743–2751.
CIKMCIKM-2019-MaZLH0J #collaboration #health #privacy
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis (JM, QZ, JL, JCH, LX0, XJ), pp. 1291–1300.
CIKMCIKM-2019-SalloumWH #approximate #big data #clustering
A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters (SS, YW, JZH), pp. 2481–2484.
ICMLICML-2019-GaoWH #geometry #graph
Geometric Scattering for Graph Data Analysis (FG, GW, MJH), pp. 2122–2131.
ICMLICML-2019-RamamurthyVM #bound
Topological Data Analysis of Decision Boundaries with Application to Model Selection (KNR, KRV, KM), pp. 5351–5360.
ICMLICML-2019-ZrnicH #adaptation
Natural Analysts in Adaptive Data Analysis (TZ, MH), pp. 7703–7711.
ASEASE-2019-TaoTLXQ #api #how #performance #question #runtime
How Do API Selections Affect the Runtime Performance of Data Analytics Tasks? (YT, ST, YL, ZX, SQ), pp. 665–668.
ESEC-FSEESEC-FSE-2019-GulzarMMK #big data #testing
White-box testing of big data analytics with complex user-defined functions (MAG, SM, MM, MK), pp. 290–301.
ECSAECSA-2018-CastellanosCR #architecture #big data #modelling
Executing Architectural Models for Big Data Analytics (CC, DC, JDR), pp. 364–371.
ICSAICSA-2018-Yasaweerasinghelage #architecture #modelling #performance #predict #privacy #simulation #using
Predicting the Performance of Privacy-Preserving Data Analytics Using Architecture Modelling and Simulation (RY, MS, IW, HYP), pp. 166–175.
ICSMEICSME-2018-RahmanR #code search #crowdsourcing #effectiveness #query #using
Effective Reformulation of Query for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics (MMR0, CKR), pp. 473–484.
ICSMEICSME-2018-RahmanR18a #api #code search #crowdsourcing #named #query #using
NLP2API: Query Reformulation for Code Search Using Crowdsourced Knowledge and Extra-Large Data Analytics (MMR0, CKR), p. 714.
CIKMCIKM-2018-KuralenokSKS #performance #taxonomy
Construction of Efficient V-Gram Dictionary for Sequential Data Analysis (IK, NS, AK, JS), pp. 1343–1352.
CIKMCIKM-2018-MafrurSK #named #recommendation #visual notation
DiVE: Diversifying View Recommendation for Visual Data Exploration (RM, MAS, HAK), pp. 1123–1132.
ICPRICPR-2018-SimberovaS
Solar Atmosphere Data Analysis (SS, TS), pp. 2797–2802.
KDDKDD-2018-GittensRWMGPKRM #library #scalability #using
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist (AG, KR, SW, MWM, LG, P, JK, MFR, KJM), pp. 293–301.
KDDKDD-2018-MiloS #interactive #platform
Next-Step Suggestions for Modern Interactive Data Analysis Platforms (TM, AS), pp. 576–585.
ESEC-FSEESEC-FSE-2018-GulzarWK #automation #big data #data-driven #debugging #named #scalability
BigSift: automated debugging of big data analytics in data-intensive scalable computing (MAG, SW, MK), pp. 863–866.
ICTSSICTSS-2018-SalvaBL #component #learning #modelling
Combining Model Learning and Data Analysis to Generate Models of Component-Based Systems (SS, EB, PL), pp. 142–148.
CIKMCIKM-2017-Berti-EquilleZ #pipes and filters #profiling
Profiling DRDoS Attacks with Data Analytics Pipeline (LBÉ, YZ), pp. 1983–1986.
CIKMCIKM-2017-HubigPSVK0 #named
HyPerInsight: Data Exploration Deep Inside HyPer (NH, LP, MES, DV, AK, TN0), pp. 2467–2470.
ECOOPECOOP-2017-Petricek #development
Data Exploration through Dot-driven Development (TP0), p. 27.
ASPLOSASPLOS-2017-Zhou #big data
Big Data Analytics and Intelligence at Alibaba Cloud (JZ), p. 1.
CASECASE-2017-JiaSYCYG #big data #detection #multi
Big-data analysis of multi-source logs for anomaly detection on network-based system (ZJ, CS0, XY, YC, TY, XG), pp. 1136–1141.
CASECASE-2017-QinLG #energy #internet #using
Data analytics for energy consumption of digital manufacturing systems using Internet of Things method (JQ, YL, RIG), pp. 482–487.
CASECASE-2017-XuLC #performance
Local AIS data analytics for efficient operation management in Vessel Traffic Service (GX, FL, CHC), pp. 1668–1672.
EDMEDM-2016-FouhFHKS #data type #topic #using
Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis (EF, MFF, SH, KHK, CAS), pp. 370–375.
ICSMEICSME-2016-ZhuLWXXRYWH #ecosystem #legacy #migration
Hug the Elephant: Migrating a Legacy Data Analytics Application to Hadoop Ecosystem (FZ, JL0, SW, JX, LX, JR, DY, JW0, TH0), pp. 177–187.
CIKMCIKM-2016-ChuahWLYB #design #optimisation
Bus Routes Design and Optimization via Taxi Data Analytics (SPC, HW0, YL0, LY, SB), pp. 2417–2420.
ICMLICML-2016-KusanoHF #kernel #persistent
Persistence weighted Gaussian kernel for topological data analysis (GK, YH, KF), pp. 2004–2013.
KDDKDD-2016-AgostaGHIKZ #clustering #scalability #using
Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters (JMA, DG, RH, MI, SK, MZ), p. 2115.
KDDKDD-2016-LiMLFDYLQ #big data #learning #performance #scalability #taxonomy
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis (XL0, MM, BL, MSF, ID, JY, TL, SQ), pp. 511–519.
KDDKDD-2016-PoonawalaKBWS #mobile
Singapore in Motion: Insights on Public Transport Service Level Through Farecard and Mobile Data Analytics (HP, VK, SB, LW, SS), pp. 589–598.
KDDKDD-2016-YueYCHZ
Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability Program (QY, AY, XC, MH, CZ), pp. 343–352.
FSEFSE-2016-GulzarICK #big data #debugging #interactive #named
BigDebug: interactive debugger for big data analytics in Apache Spark (MAG, MI, TC, MK), pp. 1033–1037.
QoSAQoSA-2015-XuWXZB #as a service #realtime
Making Real Time Data Analytics Available as a Service (DX, DW, XX, LZ, LB), pp. 73–82.
SIGMODSIGMOD-2015-DokaPTMK #big data #multi #named #workflow
IReS: Intelligent, Multi-Engine Resource Scheduler for Big Data Analytics Workflows (KD, NP, DT, CM, NK), pp. 1451–1456.
SIGMODSIGMOD-2015-IdreosPC #overview
Overview of Data Exploration Techniques (SI, OP, SC), pp. 277–281.
VLDBVLDB-2015-AbdelazizHSKM #framework #named #rdf
SPARTex: A Vertex-Centric Framework for RDF Data Analytics (IA, RH, SS, PK, NM), pp. 1880–1891.
VLDBVLDB-2015-Balazinska15a #big data #industrial #problem #question
Big Data Research: Will Industry Solve all the Problems? (MB), pp. 2053–2064.
VLDBVLDB-2015-BhardwajDEKMPS0 #collaboration
Collaborative Data Analytics with DataHub (APB, AD, AJE, DRK, SM, AGP, HS, EW, RZ), pp. 1916–1927.
VLDBVLDB-2015-DiaoDLLPPP #automation #interactive #named #navigation
AIDE: An Automatic User Navigation System for Interactive Data Exploration (YD, KD, ZL, WL, OP, KP, LP), pp. 1964–1975.
VLDBVLDB-2015-JoglekarGP
Smart Drill-Down: A New Data Exploration Operator (MJ, HGM, AGP), pp. 1928–1939.
VLDBVLDB-2015-ShiQMJWRO #pipes and filters #scalability
Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics (JS, YQ, UFM, LJ, CW, BR, ), pp. 2110–2121.
EDMEDM-2015-Popescu #design #interactive #tool support
Data Analysis Tools and Methods for Improving the Interaction Design in e-Learning (PSP), pp. 653–655.
RTARTA-2015-Kirchner #graph
Port Graphs, Rules and Strategies for Dynamic Data Analytics — Extended Abstract (HK), pp. 1–4.
CHICHI-2015-TinatiKSLSS #case study #design #framework #multi #platform
Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform (RT, MVK, EPBS, MLR, RJS, NS), pp. 4069–4078.
HCIDHM-EH-2015-LiuCKQF #power management
Balancing Power Consumption and Data Analysis Accuracy Through Adjusting Sampling Rates: Seeking for the Optimal Configuration of Inertial Sensors for Power Wheelchair Users (TL, CC, MK, GQ, JF), pp. 184–192.
HCIDUXU-UI-2015-Nawrot #difference #gender #question #towards #women
Gender Differences in Temporal Data Analysis — Toward Women or Men Empowerment? (IN), pp. 232–242.
KDDKDD-2015-WangCGDKCMS #health #named
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (YW, RC, JG, JCD, ANK, YC, BAM, JS), pp. 1265–1274.
KDDKDD-2015-YangLJ #big data #optimisation
Big Data Analytics: Optimization and Randomization (TY, QL, RJ), p. 2327.
MLDMMLDM-2015-AlzahraniAAB
Data Analysis for Courses Registration (NA, RA, NA, GB), pp. 357–367.
ICSEICSE-v2-2015-MenziesMP
The Art and Science of Analyzing Software Data; Quantitative Methods (TM, LLM, FP), pp. 959–960.
DATEDATE-2015-SonghoriMLK #automation #framework #hardware #named
AHEAD: automated framework for hardware accelerated iterative data analysis (EMS, AM, XL, FK), pp. 942–947.
HPDCHPDC-2015-BerrocalBDLC #detection #lightweight #runtime
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications (EB, LABG, SD, ZL, FC), pp. 275–278.
HPDCHPDC-2015-ChengIGB #in the cloud #named
CAST: Tiering Storage for Data Analytics in the Cloud (YC, MSI, AG, ARB), pp. 45–56.
HPDCHPDC-2015-SuWA #generative #performance
In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps (YS, YW, GA), pp. 61–72.
PDPPDP-2015-PedersenREB #biology #data-driven #framework
Integrating Data-Intensive Computing Systems with Biological Data Analysis Frameworks (EP, IAR, ME, LAB), pp. 733–740.
STOCSTOC-2015-DworkFHPRR #adaptation #statistics
Preserving Statistical Validity in Adaptive Data Analysis (CD, VF, MH, TP, OR, ALR), pp. 117–126.
WICSAWICSA-2014-HarperD #agile #architecture
Agile Software Architecture in Advanced Data Analytics (KEH, AD), pp. 243–246.
SIGMODSIGMOD-2014-BlanasWBDS #parallel
Parallel data analysis directly on scientific file formats (SB, KW, SB, BD, AS), pp. 385–396.
SIGMODSIGMOD-2014-DimitriadouPD #automation #framework #interactive #named #query
Explore-by-example: an automatic query steering framework for interactive data exploration (KD, OP, YD), pp. 517–528.
SIGMODSIGMOD-2014-GulwaniM #interactive #named #natural language #programming #spreadsheet
NLyze: interactive programming by natural language for spreadsheet data analysis and manipulation (SG, MM), pp. 803–814.
SIGMODSIGMOD-2014-KalininCZ #interactive #semantics #using
Interactive data exploration using semantic windows (AK, , SBZ), pp. 505–516.
SIGMODSIGMOD-2014-LeFevreSHTPC #big data #design #physics
Opportunistic physical design for big data analytics (JL, JS, HH, JT, NP, MJC), pp. 851–862.
VLDBVLDB-2014-Markl #big data #declarative #independence
Breaking the Chains: On Declarative Data Analysis and Data Independence in the Big Data Era (VM), pp. 1730–1733.
VLDBVLDB-2014-ProserpioGM
Calibrating Data to Sensitivity in Private Data Analysis (DP, SG, FM), pp. 637–648.
VLDBVLDB-2014-SuchanekW #big data #knowledge base
Knowledge Bases in the Age of Big Data Analytics (FMS, GW), pp. 1713–1714.
ITiCSEITiCSE-2014-Marttila-KontioKH #education #student
Advanced data analytics education for students and companies (MMK, MK, VH), pp. 249–254.
CHICHI-2014-ShelleyLMDSS #design #student
Information-building applications: designing for data exploration and analysis by elementary school students (TS, LL, TM, CD, BLS, AS), pp. 2123–2132.
HCIDUXU-DI-2014-Bockermann #approach #big data #programming #visual notation
A Visual Programming Approach to Big Data Analytics (CB), pp. 393–404.
ICEISICEIS-v1-2014-LettnerZ #framework #industrial #product line
A Data Analysis Framework for High-variety Product Lines in the Industrial Manufacturing Domain (CL, MZ), pp. 209–216.
ICMLICML-c1-2014-ChazalGLM #convergence #diagrams #estimation #persistent
Convergence rates for persistence diagram estimation in Topological Data Analysis (FC, MG, CL, BM), pp. 163–171.
ICPRICPR-2014-FuscoEM #locality #network
Bad Data Analysis with Sparse Sensors for Leak Localisation in Water Distribution Networks (FF, BE, SM), pp. 3642–3647.
KDIRKDIR-2014-LinDDG
Data Analytics for Power Utility Storm Planning (LL, AD, DD, SSG), pp. 308–314.
SEKESEKE-2014-JuniorCMS #gpu #repository
Exploratory Data Analysis of Software Repositories via GPU Processing (JRDSJ, EC, LM, AS), pp. 495–500.
SIGIRSIGIR-2014-NiuLGCG #learning #rank #robust #what
What makes data robust: a data analysis in learning to rank (SN, YL, JG, XC, XG), pp. 1191–1194.
SIGIRSIGIR-2014-ThomasL #composition #distance #information retrieval
Compositional data analysis (CoDA) approaches to distance in information retrieval (PT, DL), pp. 991–994.
DATEDATE-2014-0002LLCXY #big data #energy #network #performance
Energy efficient neural networks for big data analytics (YW, BL, RL, YC, NX, HY), pp. 1–2.
SIGMODSIGMOD-2013-AboulnagaB #big data
Workload management for big data analytics (AA, SB), pp. 929–932.
SIGMODSIGMOD-2013-GhazalRHRPCJ #benchmark #big data #industrial #metric #named #standard #towards
BigBench: towards an industry standard benchmark for big data analytics (AG, TR, MH, FR, MP, AC, HAJ), pp. 1197–1208.
SIGMODSIGMOD-2013-HuangB0 #in the cloud #named #optimisation #statistics
Cumulon: optimizing statistical data analysis in the cloud (BH, SB, JY), pp. 1–12.
SIGMODSIGMOD-2013-LapeineHHG #interactive #mobile #query
Mobile interaction and query optimizationin a protein-ligand data analysis system (ML, KGH, EH, NMG), pp. 1291–1292.
VLDBVLDB-2013-HassanzadehKKKOP #generative
Next Generation Data Analytics at IBM Research (OH, AK, BK, RK, , IP), pp. 1174–1175.
VLDBVLDB-2013-KondaKRS #enterprise #feature model #using
Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System (PK, AK, CR, VS), pp. 1306–1309.
CHICHI-2013-DruckerFSHs #case study #interface #named
TouchViz: a case study comparing two interfaces for data analytics on tablets (SMD, DF, RS, JH, MMCS), pp. 2301–2310.
CHICHI-2013-HarpsteadMA #education #game studies #learning
In search of learning: facilitating data analysis in educational games (EH, BAM, VA), pp. 79–88.
HCIDUXU-PMT-2013-ChynalSS #evaluation #eye tracking #usability #using
Remote Usability Evaluation Using Eye Tracking Enhanced with Intelligent Data Analysis (PC, JS, JMS), pp. 212–221.
CAiSECAiSE-2013-ChatzikonstantinouKA #framework
A Goal Driven Framework for Software Project Data Analytics (GC, KK, IMA), pp. 546–561.
KDDKDD-2013-CannyZ #big data
Big data analytics with small footprint: squaring the cloud (JC, HZ), pp. 95–103.
KDDKDD-2013-JohnsonS #privacy
Privacy-preserving data exploration in genome-wide association studies (AJ, VS), pp. 1079–1087.
KDDKDD-2013-SunR #big data
Big data analytics for healthcare (JS, CKR), p. 1525.
KDDKDD-2013-Wright #learning #optimisation
Optimization in learning and data analysis (SJW), p. 3.
KEODKEOD-2013-TodescoBZTG
Linked Open Government Data Research Panorama (BT, BB, AZ, JLT, FOG), pp. 278–285.
MLDMMLDM-2013-NikovskiWESSMT #detection
Smart Meter Data Analysis for Power Theft Detection (DNN, ZW, AE, HS, KS, TM, KT), pp. 379–389.
RecSysRecSys-2013-ChowJKS #difference #recommendation
Differential data analysis for recommender systems (RC, HJ, BPK, GS), pp. 323–326.
ICSEICSE-2013-ShangJHAHM #big data #developer
Assisting developers of big data analytics applications when deploying on hadoop clouds (WS, ZMJ, HH, BA, AEH, PM), pp. 402–411.
PDPPDP-2013-BachCMK #clustering #grid #multi #power management
Power Grid Time Series Data Analysis with Pig on a Hadoop Cluster Compared to Multi Core Systems (FB, HKÇ, HM, UGK), pp. 208–212.
PODSPODS-2012-Mahoney #approximate #scalability
Approximate computation and implicit regularization for very large-scale data analysis (MWM), pp. 143–154.
SIGMODSIGMOD-2012-ChengQR #big data #named
GLADE: big data analytics made easy (YC, CQ, FR), pp. 697–700.
SIGMODSIGMOD-2012-EngleLXZFSS #distributed #memory management #named #performance #using
Shark: fast data analysis using coarse-grained distributed memory (CE, AL, RX, MZ, MJF, SS, IS), pp. 689–692.
SIGMODSIGMOD-2012-MohanTSSC #named #privacy
GUPT: privacy preserving data analysis made easy (PM, AT, ES, DS, DEC), pp. 349–360.
VLDBVLDB-2012-Dietrich
Data Analytics Opportunities in a Smarter Planet (BD), p. 1697.
VLDBVLDB-2012-LeeLLLR #framework #twitter
The Unified Logging Infrastructure for Data Analytics at Twitter (GL, JL, CL, AL, DVR), pp. 1771–1780.
VLDBVLDB-2012-LiuLOSWZ #crowdsourcing #named
CDAS: A Crowdsourcing Data Analytics System (XL, ML, BCO, YS, SW, MZ), pp. 1040–1051.
VLDBVLDB-2012-Shim #algorithm #big data #pipes and filters
MapReduce Algorithms for Big Data Analysis (KS), pp. 2016–2017.
CHICHI-2012-WillettHA #crowdsourcing #social
Strategies for crowdsourcing social data analysis (WW, JH, MA), pp. 227–236.
CSCWCSCW-2012-HarboeMIH #collaboration #diagrams
Computer support for collaborative data analysis: augmenting paper affinity diagrams (GH, JM, II, EMH), pp. 1179–1182.
CAiSECAiSE-2012-CastanoFM #linked data #open data
Clouding Services for Linked Data Exploration (SC, AF, SM), pp. 486–501.
CIKMCIKM-2012-TanLN #named
CloST: a hadoop-based storage system for big spatio-temporal data analytics (HT, WL, LMN), pp. 2139–2143.
ICMLICML-2012-XuYQ #composition #infinity #modelling #multi #parametricity
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis (ZX, FY, AQ), p. 218.
KDDKDD-2012-LiuSZFNW #named #visualisation
AssocExplorer: an association rule visualization system for exploratory data analysis (GL, AS, HZ, MF, SKN, LW), pp. 1536–1539.
KDDKDD-2012-Ueda #relational
Bayesian relational data analysis (NU), p. 815.
KDDKDD-2012-ZhouQM #behaviour #social #social media
Social media data analysis for revealing collective behaviors (AZ, WQ, HM), p. 1402.
SIGIRSIGIR-2012-NunzioS #classification #naive bayes #visual notation
A visual tool for bayesian data analysis: the impact of smoothing on naive bayes text classifiers (GMDN, AS), p. 1002.
ECOOPECOOP-2012-MorandatHOV #design
Evaluating the Design of the R Language — Objects and Functions for Data Analysis (FM, BH, LO, JV), pp. 104–131.
LOPSTRLOPSTR-2012-ChristiansenHLP #declarative #pipes and filters
A Declarative Pipeline Language for Complex Data Analysis (HC, CTH, OTL, MP), pp. 17–34.
SIGMODSIGMOD-2011-OzcanHBBLL #enterprise #roadmap
Emerging trends in the enterprise data analytics: connecting Hadoop and DB2 warehouse (, DH, KSB, AB, CJL, YL), pp. 1161–1164.
VLDBVLDB-2011-BeyerEGBEKOS #named #scalability #scripting language #semistructured data
Jaql: A Scripting Language for Large Scale Semistructured Data Analysis (KSB, VE, RG, AB, MYE, CCK, , EJS), pp. 1272–1283.
HCIDUXU-v2-2011-WynnS #low cost #video
Motivating Change and Reducing Cost with the Discount Video Data Analysis Technique (JW, JDS), pp. 321–328.
ICEISICEIS-v1-2011-WangWH #implementation
Research and Implementation of Campus Card Data Analysis System (FW, FW, LH), pp. 515–518.
CIKMCIKM-2011-VirgilioM #calculus #using
RFID data analysis using tensor calculus for supply chain management (RDV, FM), pp. 1743–1748.
KDDKDD-2011-Norvig #internet
Internet scale data analysis (PN), p. 2.
ICSEICSE-2011-AndersonS #design #framework #implementation
Design and implementation of a data analytics infrastructure in support of crisis informatics research (KMA, AS), pp. 844–847.
ICSEICSE-2011-HullettNSH #development #game studies
Data analytics for game development (KH, NN, ES, JH), pp. 940–943.
ISSTAISSTA-2011-GuoE #automation #persistent #using
Using automatic persistent memoization to facilitate data analysis scripting (PJG, DRE), pp. 287–297.
VLDBVLDB-2010-AlexandrovBEHHKMNW #parallel
Massively Parallel Data Analysis with PACTs on Nephele (AA, DB, SE, MH, FH, OK, VM, EN, DW), pp. 1625–1628.
VLDBVLDB-2010-SrivastavaGGJSSSY #realtime
Enabling Real Time Data Analysis (DS, LG, RG, TJ, JS, VS, OS, JY), pp. 1–2.
EDMEDM-2010-KrugerMW10a #data mining #mining
When Data Exploration and Data Mining meet while Analysing Usage Data of a Course (AK, AM, BW), pp. 305–306.
ECIRECIR-2010-BierigCGB #evaluation #framework #information retrieval #interactive #modelling
A Data Analysis and Modelling Framework for the Evaluation of Interactive Information Retrieval (RB, MJC, JG, NJB), pp. 673–674.
KDIRKDIR-2010-Diday
Extracting Knowledge from Complex Data by Symbolic Data Analysis (ED), pp. 5–6.
ICSEICSE-2010-SridharanN #re-engineering
Bayesian methods for data analysis in software engineering (MS, ASN), pp. 477–478.
SIGMODSIGMOD-2009-Heer #social
Voyagers and voyeurs: supporting social data analysis (JH), pp. 971–972.
SIGMODSIGMOD-2009-McSherry #framework #platform #privacy #query
Privacy integrated queries: an extensible platform for privacy-preserving data analysis (FM), pp. 19–30.
SIGMODSIGMOD-2009-PavloPRADMS #comparison #scalability
A comparison of approaches to large-scale data analysis (AP, EP, AR, DJA, DJD, SM, MS), pp. 165–178.
VLDBVLDB-2009-HeerH #social #visualisation
Data visualization & social data analysis (JH, JMH), pp. 1656–1657.
HCIHCI-NIMT-2009-HurY #multi #named #sorting
SimulSort: Multivariate Data Exploration through an Enhanced Sorting Technique (IH, JSY), pp. 684–693.
ICMLICML-2009-CaiWH #consistency #probability
Probabilistic dyadic data analysis with local and global consistency (DC, XW, XH), pp. 105–112.
KDDKDD-2009-BerlingerioPNG #interactive #mining #workflow
Temporal mining for interactive workflow data analysis (MB, FP, MN, FG), pp. 109–118.
DATEDATE-2009-YangNV #automation #debugging
Automated data analysis solutions to silicon debug (YSY, NN, AGV), pp. 982–987.
ITiCSEITiCSE-2008-Hoo #self
Self-organized maps in scientific data analysis (JTSH), p. 372.
CHICHI-2008-PererS #case study #statistics #visualisation
Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis (AP, BS), pp. 265–274.
KDDKDD-2008-GraepelH #modelling #online #scalability
Large scale data analysis and modelling in online services and advertising (TG, RH), p. 2.
CGOCGO-2008-Griesemer #design #parallel
Parallelism by design: data analysis with sawzall (RG), p. 3.
SIGMODSIGMOD-2007-RundensteinerWXCWYH #interactive #named
XmdvtoolQ: : quality-aware interactive data exploration (EAR, MOW, ZX, QC, CVW, DY, SH), pp. 1109–1112.
MSRMSR-2007-MorisakiMMTM #fault #mining
Defect Data Analysis Based on Extended Association Rule Mining (SM, AM, TM, HT, KiM), p. 3.
HCIHIMI-IIE-2007-MaungK #web
Web Application for Data Analysis by Means of Evidential Dominance (ZAHM, YK), pp. 749–758.
ICEISICEIS-DISI-2007-MatiasM #interactive
Revisiting the olap interaction to cope with spatial data and spatial data analysis (RM, JMP), pp. 157–163.
STOCSTOC-2007-NissimRS
Smooth sensitivity and sampling in private data analysis (KN, SR, AS), pp. 75–84.
VLDBVLDB-2006-RaoDTC
A Deferred Cleansing Method for RFID Data Analytics (JR, SD, HT, LSC), pp. 175–186.
ICPRICPR-v1-2006-WeiB #segmentation #statistics #using
Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis (HW, MB), pp. 667–670.
SACSAC-2006-LangstonPSSV
Innovative computational methods for transcriptomic data analysis (MAL, ADP, AMS, JAS, BHV), pp. 190–194.
SIGMODSIGMOD-2005-JahangiriS #named
ProDA: a suite of web-services for progressive data analysis (MJ, CS), pp. 894–896.
TPDLECDL-2004-HunterFL #generative #interactive #interface
Next Generation Search Interfaces — Interactive Data Exploration and Hypothesis Formulation (JH, KF, SL), pp. 86–98.
VLDBVLDB-2003-ShiSZ #approach #multi
A Shrinking-Based Approach for Multi-Dimensional Data Analysis (YS, YS, AZ), pp. 440–451.
CSMRCSMR-2003-GschwindO #aspect-oriented #programming
Improving Dynamic Data Analysis with Aspect-Oriented Programming (TG, JO), p. 259–?.
KDDKDD-2003-Piatetsky-ShapiroKR #array
Capturing best practice for microarray gene expression data analysis (GPS, TK, SR), pp. 407–415.
SEKESEKE-2003-BeaverS #modelling #quality
Spatial Data Analysis as a Software Quality Modeling Technique (JMB, GAS), pp. 74–77.
SIGMODSIGMOD-2002-RundensteinerWYD #interactive #named #set #visual notation
XmdvTool: visual interactive data exploration and trend discovery of high-dimensional data sets (EAR, MOW, JY, PRD), p. 631.
DATEDATE-2002-BontempiK #performance #predict
A Data Analysis Method for Software Performance Prediction (GB, WK), pp. 971–976.
IWPCIWPC-2001-AndritsosM #reverse engineering
Reverse Engineering Meets Data Analysis (PA, RJM), pp. 157–166.
ICEISICEIS-v1-2001-CounsellLSTM #email #optimisation #using
Optimising the Grouping of Email Users to Servers Using Intelligent Data Analysis (SC, XL, SS, AT, JM), pp. 489–496.
KDDKDD-2000-BecherBF #automation #data mining #mining #performance
Automating exploratory data analysis for efficient data mining (JDB, PB, EF), pp. 424–429.
GPCESAIG-2000-FischerSP #generative #modelling #source code #statistics
Generating Data Analysis Programs from Statistical Models (BF, JS, TP), pp. 212–229.
CAiSECAiSE-1999-Wietek #modelling #multi #visual notation
Modelling Multidimensional Data in a Dataflow-Based Visual Data Analysis Environment (FW), pp. 149–163.
KDDKDD-1999-BarbaraW #approximate #using
Using Approximations to Scale Exploratory Data Analysis in Datacubes (DB, XW), pp. 382–386.
CHICHI-1998-MackayB #multi #named
DIVA: Exploratory Data Analysis with Multimedia Streams (WEM, MBL), pp. 416–423.
SIGIRSIGIR-1998-Greiff #formal method
A Theory of Term Weighting Based on Exploratory Data Analysis (WRG), pp. 11–19.
KDDKDD-1997-ChienFMLG #database #image #scalability #using
Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases (SAC, FF, HM, EL, RG), pp. 147–150.
KDDKDD-1997-DerthickKR #interactive #visualisation
An Interactive Visualization Environment for Data Exploration (MD, JK, SFR), pp. 2–9.
KDDKDD-1997-SmythW #set
Anytime Exploratory Data Analysis for Massive Data Sets (PS, DW), pp. 54–60.
ICSEICSE-1997-GoelS #re-engineering
Software Engineering Data Analysis Techniques (ALG, MS), pp. 667–668.
SIGMODSIGMOD-1996-SelfridgeSW #idea #interactive #named
IDEA: Interactive Data Exploration and Analysis (PGS, DS, LOW), pp. 24–34.
KDDKDD-1996-FayyadHS
KDD for Science Data Analysis: Issues and Examples (UMF, DH, PES), pp. 50–56.
KDDKDD-1995-CiampiL #approach #design #modelling #network #statistics
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration (AC, YL), pp. 45–50.
ICSEICSE-1995-CookW #automation #process
Automating Process Discovery Through Event-Data Analysis (JEC, ALW), pp. 73–82.
KDDKDD-1994-BhandariB #on the #statistics
On the Role of Statistical Significance in Exploratory Data Analysis (ISB, SB), pp. 61–72.
AdaTRI-Ada-C-1992-SeligPM #ada #realtime
Data Analysis and Reporting for Real-Time Ada Systems (TS, DBP, BDM), pp. 469–476.
ICMLML-1991-BiswasWYK #clustering #concept
Conceptual Clustering and Exploratory Data Analysis (GB, JBW, QY, GRK), pp. 591–595.
CHICHI-1990-SmithBG #generative
Stereophonic and surface sound generation for exploratory data analysis (SS, RDB, GGG), pp. 125–132.
ICMLML-1989-Schaffer
Bacon, Data Analysis and Artificial Intelligence (CS), pp. 174–179.
DACDAC-1987-KoukaS #design
An Application of Exploratory Data Analysis Techniques to Floorplan Design (EFMK, GS), pp. 654–658.
VLDBVLDB-1984-JooPM #database #design #logic #named
Datadict — A Data Analysis and Logical Database Design Tool (TTJ, TKP, GAM), pp. 71–77.
DACDAC-1978-Gianfagna #approach #testing
A unified approach to test data analysis (MAG), pp. 117–124.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.