
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]

June 2007, Volume 9, Issue 1
- Introduction to the Special Issue on Data Mining for Health Informatics [1]
- Enabling More Sophisticated Gene Expression Analysis for Understanding Diseases and Optimizing Treatments [3]
- Novel Approaches for Small Biomolecule Classification and Structural Similarity Search [14]
- Drug Exposure Side Effects from Mining Pregnancy Data [ [22]
- Automatic in vivo Microscopy Video Mining for Leukocytes [30]
- Interview with Simon Funk [38]
- Unsupervised pattern mining from symbolic temporal data [41]
- 5th International Workshop on Knowledge Discovery in Inductive Databases (KDID06): Workshop Report [56]

December 2006, Volume 8, Issue 2
- Letter from the Editor-in-chief [1]
- Mining Motion Patterns using Color Motion Map Clustering [3]
- Clientside Web Mining for Community Formation in PeertoPeer Environments [11]
- UtilityBased Anonymization for Privacy Preservation with Less Information Loss [21]
- Maximizing Classifier Utility when Training Data is Costly [31]
- On the Medical Frontier: The 2006 KDD Cup Competition and Results [39]
- Modifying Boosted Trees to Improve Performance on Task 1 of the 2006 KDD Challenge Cup [47]
- Voting with a Parameterized Veto Strategy: Solving the KDD Cup 2006 Problem by means of a Classifier Committee [53]
- Parameter Optimized, Vertical, Nearest-Neighbor-Vote and Boundery-Based Classification [63]
- What Are The Grand Challenges for Data Mining? KDD-2006 Panel Report [70]
- BIOKDD06: Data Mining in Bioinformatics [78]
- Data Mining for Business Applications [79]
- KDD Workshop on Data Mining Standards, Services and Platforms (DMSSP) 2006 [82]
- WebKDD 2006 . Web Mining and Web Usage Analysis Post-Workshop Report [84]
- Network Reconstruction from Dynamic Data [90]
- KDD/MDM 2006: The 7th KDD Multimedia Data Mining Workshop Report [92]
- KDD2006 Workshop Report Theory and Practice of Temporal Data Mining [96]
- UBDM 2006: Utility-Based Data Mining 2006 Workshop Report [98]
- Can Exclusive Clustering on Streaming Data be Achieved? [102]

June 2006, Volume 8, Issue 1
- Introduction to the Special Issue on Successful Real-World Data Mining Applications [1]
- Data Mining for Improved Cardiac Care [3]
- Closing the Gap: Automated Screening of Tax Returns to Identify Egregious Tax Shelters [11]
- Blocking Objectionable Web Content by Leveraging Multiple Information Source [17]
- Championing an LTV Model for an LTC [27]
- Mining Source Code Elements for Comprehending Object-Oriented Systems and Evaluating Their Maintainability [33]
- Text Mining for Product Attribute Extraction [41]
- Service Quality Improvement Through Business Process Management based on Data Mining [49]
- Market Basket Recommendations for the HP SMB Store [57]
- Revenue Recovering with Insolvency Prevention on a Brazilian Telecom Operator [65]
- Data-driven Modeling and Prediction of Acute Toxicity of Pesticide Residues [71]
- Spatial Data Mining to Support Pandemic Preparedness [80]
- The Problem of Disguised Missing Data [83]
- Frequent closed itemset based algorithms: A thorough structural and analytical survey [93]

December 2005, Volume 7, Issue 2
- Letter from the editor-in-chief [1]
- Introduction: Special Issue on Link Mining [1]
- Link Mining: A Survey [3]
- Sampling Algorithms for Pure Network Topologies [13]
- Prediction and Ranking Algorithms for Event-Based Network Data [23]
- Dynamic Social Network Analysis using Latent Space Models [31]
- The Case for Anomalous Link Discovery [41]
- Relevance Search and Anomaly Detection in Bipartite Graphs [48]
- Discovering Informative Connection Subgraphs in Multi-Relational Graphs [56]
- Comparison of Graph-Based and Logic-Based Multi-Relational Data Mining [64]
- Privacy-Enhanced Linking [72]
- Link Mining Applications: Progress and Challenges [76]
- Interview with Usama Fayyad, Yahoo Chief Data Officer [84]
- KDD CUP-2005 Report: Facing a Great Challenge [91]
- Q2C@UST: Our Winning Solution to Query Classification in KDDCUP 2005 [100]
- The Ferrety Algorithm for the KDD Cup 2005 Problem [111]
- Classifying Search Engine Queries Using the Web as Background Knowledge [117]
- KDD-2005 Workshop Report Link Discovery: Issues, Approaches and Application [123]
- MultiRelational Data Mining 2005: Workshop Report [126]
- BIOKDD 2005 Workshop Report [129]
- Data Mining Methods for Anomaly Detection KDD-2005 Workshop Report [132]
- Data Mining Standards, Services and Platforms 2005 Workshop Report [137]
- WebKDD 2005 - Web Mining and Web Usage Analysis Post-Workshop report [139]
- Open Source Data Mining: Workshop Report [143]
- Report on UBDM-05: Workshop on Utility-Based Data Mining [145]
- The 6th International Workshop on Multimedia Data Mining (MDM/KDD2005) [148]
- Association against Dissociation: some pragmatic considerations for Frequent Itemset generation under Fixed and Variable Thresholds [151]