December 2009, Volume 11, Issue 2

December 2009, Volume 11, Issue 2

  • Letter from the editor-in-chief [1]
  • Introduction to the Special Issue on Visual Analytics and Knowledge Discovery [ [3]
  • Visual Analytics: How Much Visualization and How Much Analytics? [5]
  • Investigating and Reflecting on the Integration of Automatic Data Analysis and Visualization in Knowledge Discovery [9]
  • Interactive Cluster Analysis of Diverse Types of Spatiotemporal Data [19]
  • Visual Analysis of Mixed Data Sets Using Interactive Quantification [29]
  • FpVAT: A Visual Analytic Tool for Supporting Frequent Pattern Mining [39]
  • Hierarchical Difference Scatterplots: Interactive Visual Analysis of DataCubes [49]
  • Trading Expressivity for Efficiency in Statistical Relational Learning [59]
  • From Itemsets Through Trajectories to Location Based Services: A Knowledge Hiding Privacy Approach [61]
  • Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD09 [63]
  • Design and Analysis of the KDDCup2009: Fast Scoring on a Large Orange Customer Database [68]
  • Workshop Report DMMT09: Data Mining Using Matrices and Tensors [77]
  • A report on the Human Computation Workshop (HComp 2009) [80]
  • Knowledge Discovery from Sensor Data (SensorKDD) [84]
  • StReBio09: Statistical Relational Learning and Mining in Bioinformatics [88]
  • Summary of the First ACMSIGKDD Workshop on Knowledge Discovery from Uncertain Data(U09) [90]
  • Online Phishing Classification Using Adversarial Data Mining and Signaling Games [ [92]
  • Financial Incentives and the "Performance of Crowds" [100]
  • Online Mass Flow Prediction in CFB Boilers with Explicit Detection of Sudden Concept Drift [109]
  • Multi-Class Protein Fold Recognition using Large Margin Logic based Divide and Conquer Learning [117]
  • Efficient Algorithms for the Mining of Constrained Frequent Patterns from Uncertain Data [123]

Read More

July 2009, Volume 11, Issue 1

July 2009, Volume 11, Issue 1

  • Letter from the editor-in-chief [1]
  • Open Source Analytics: An Introduction to the Special Issue [3]
  • What is Analytic Infrastructure and Why Should You Care? [5]
  • The WEKA Data Mining Software: An Update [10]
  • What.s PMML and What.s New in PMML 4.0? [19]
  • KNIME . The Konstanz Information Miner [26]
  • Efficient Deployment of Predictive Analytics through Open Standards and Cloud Computing [32]
  • Development and User Experiences of an Open Source Data Cleaning, Deduplication and Record Linkage System [39]
  • Challenging Research Issues in Data Mining, Databases and Information Retrieval [49]
  • Correlation Clustering [53]
  • Adaptive Learning and Mining for Data Streams and Frequent Patterns [55]
  • Mining Concise Representations of Frequent Patterns through Conjunctive and Disjunctive Search Spaces [57]

Read More

December 2008, Volume 10, Issue 2

December 2008, Volume 10, Issue 2

  • Letter from the editor-in-chief [1]
  • On Exploiting the Power of Time in Data Mining [3]
  • A Brief Survey on Anonymization Techniques for Privacy Preserving Publishing of Social Network Data [12]
  • Book Review: Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data [23]
  • Scalable Mining and Link Analysis Across Multiple Database Relations [26]
  • Incremental Pattern Discovery on Streams, Graphs and Tensors [28]
  • Building Acceptable Classification Models for Financial Engineering Applications [30]
  • Approximate inference, structure learning and feature estimation in Markov Random Fields [32]
  • KDD Cup 2008 and the Workshop on Mining Medical Data [34]
  • Breast Cancer Identification: KDD CUP Winner's Report [39]
  • Learning to Improve Area-Under-FROC for Imbalanced Medical Data Classification Using an Ensemble Method [43]
  • Report on the Second KDD Workshop on Data Mining for Advertising [47]
  • BIOKDD 2008: A Workshop Report on Data Mining in Bioinformatics [51]
  • KDD2008 Workshop Report DMMT.08: Data Mining Using Matrices and Tensors [54]
  • Algorithmic and Statistical Challenges in Modern LargeScale Data Analysis are the Focus of MMDS 2008 [57]
  • MMIS07, 08: Mining Multiple Information Sources Workshop Report [61]
  • PinKDD'08: Privacy, Security, and Trust in KDD PostWorkshop Report [66]
  • Knowledge Discovery from Sensor Data (SensorKDD) [68]
  • SNAKDD 2008 Social Network Mining and Analysis PostWorkshop Report [74]
  • WebKDD 2008: 10 years of Knowledge Discovery on the Web Post-Workshop report [78]
  • Retail Sales Prediction and Item Recommendations Using Customer Demographics at Store Level [84]
  • Learning Preferences of New Users in Recommender Systems: An Information Theoretic Approach [90]
  • WSDM 2009 Call for Participation [101]
  • June 2009 Special Issue Call For Papers [102]
  • SIGKDD 2009 Call for Exhibits [ [103]

Read More

July 2008, Volume 10, Issue 1

July 2008, Volume 10, Issue 1

  • Letter from the editor-in-chief [1]
  • Higher Order Mining [5]
  • Blogosphere: Research Issues, Tools, and Applications [18]
  • Data mining with cellular automata [32]
  • A Privacy-Aware Trajectory Tracking Query Engine [40]
  • Ian Ayres's Super Crunchers is Not about Super Crunching [50]
  • 8th French-speaking conference on Knowledge Discovery and Management (EGC2008): conference report [53]

Read More

December 2007, Volume 9, Issue 2

December 2007, Volume 9, Issue 2

  • Letter from the editor-in-chief [1]
  • Introduction to the Special Issue on Visual Analytics [3]
  • VISA: Visual Subspace Clustering Analysis [5]
  • Visual Analysis of Dynamic Group Membership in Temporal Social Networks [13]
  • Managing discoveries in the visual analytics process [22]
  • TrajectoryBased Visual Analysis of Large Financial Time Series Data [30]
  • Visual Analytics Tools for Analysis of Movement Data [38]
  • Interview with Jon Kleinberg [47]
  • KDD Cup and Workshop 2007 [51]
  • KDD Cup 2007 Task 1 Winner Report [ [53]
  • A classical predictive modeling approach for Task "Who rated what?" of the KDD CUP 2007 [57]
  • Predicting Who Rated What in Largescale Datasets [62]
  • Making the Most of Your Data: KDD Cup 2007 "How Many Ratings" Winner's Report [66]
  • A combination of approaches to solve Task "How Many Ratings?" of the KDD CUP 2007 [70]
  • Lessons from the Netflix Prize Challenge [75]
  • Major components of the Gravity Recommendation System [80]
  • DDDM2007: Domain Driven Data Mining [84]
  • WebKDD/SNAKDD 2007: Web Mining and Social Network Analysis - Post Workshop Report [ [87]
  • PinKDD'07: Privacy, Security, and Trust in KDD PostWorkshop Report [93]
  • ADKDD2007: Data Mining and Audience Intelligence for Advertising [96]
  • More Bang for Their Bucks: Assessing New Features for Online Advertisers [100]

Read More