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]
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]
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]
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]
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]
