June 2006, Volume 8, Issue 1

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]

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December 2005, Volume 7, Issue 2

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]

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June 2005, Volume 7, Issue 1

June 2005, Volume 7, Issue 1

  • Text Mining and Natural Language Processing Introduction for the Special Issue [1]
  • Mining Knowledge from Text Using Information Extraction [3]
  • Instance Filtering for Entity Recognition [11]
  • Chinese Named Entity Recognition using Lexicalized HMMs [19]
  • Distributed Higher Order Association Rule Mining Using Information Extracted from Textual Data [26]
  • Support Vector Machines Classification with A Very Large-scale Taxonomy [36]
  • Mining Logs Files for DataDriven System Management [44]
  • A baseline feature set for learning rhetorical zones using full articles in the biomedical domain [52]
  • Using Text Mining and Natural Language Processing for Health Care Claims Processing [59]
  • Extracting Statistical Data Frames from Text [67]
  • Generalized Naive Bayes Classifiers [76]

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December 2004, Volume 6, Issue 2

December 2004, Volume 6, Issue 2

  • Editorial: Special Issue on Web Content Mining [1]
  • Extracting Relational Data from HTML Repositories [5]
  • Learning Important Models for Web Page Blocks based on Layout and Content Analysis [14]
  • Learning by Googling [24]
  • Correlating Summarization of Multi-source News with K-way Graph Bi-clustering [34]
  • Information Diffusion Through Blogspace [43]
  • Mining Structures for Semantics [53]
  • Learning to Extract Information from Large Domain-specific Websites using Sequential Models [61]
  • Mining Semantics for Large Scale Integration on the Web: Evidences, Insights, and Challenges [67]
  • A Critical Review of Multi-Objective Optimization in Data Mining: A Position Paper [77]
  • Subspace Clustering for High Dimensional Categorical Data [87]
  • KDD Cup 2004: Results and Analysis [95]
  • Anti-matter detection: Particle Physics Model for KDD Cup 2004 [109]
  • KDD Physics Task - Discussion of Modeling Approaches [113]
  • Quick and Dirty Quantum Predictions with FIRMplus [115]
  • The Weka Solution to the 2004 KDD Cup [117]
  • A Block-Based Support Vector Machine Approach to the Protein Homology Prediction Task in KDD Cup 2004 [120]
  • Protein Matching With Custom Neural Network Objective Functions [125]
  • KDD-Cup 2004 - Protein Homology Task [128]
  • Report on KDD Conference 2004 Panel Discussion: Can Natural Language Processing Help Text Mining? [132]
  • Overview of the ACM SIGKDD 2004 Workshops [134]
  • KDD-2004 Workshop Report: Link Analysis and Group Detection (LinkKDD-2004) [136]
  • MultiRelational Data Mining 2004: Workshop Report [140]
  • A Workshop Report: Mining for and from the Semantic Web at KDD 2004 [142]
  • The 5th International Workshop on Multimedia Data Mining (MDM/KDD2004) [144]
  • WebKDD 2004 - Web Mining and Web Usage Analysis Post-Workshop report [147]
  • The Third SIGKDD Workshop on Mining Temporal and Sequential Data (KDD/TDM 2004) [152]
  • Report on BIOKDD04: Workshop on Data Mining in Bioinformatics [153]
  • A Report on the Fourth International Workshop on Environmental Applications of Machine Learning (EAML 2004) [155]
  • Data Mining Standards, Services, and Platforms 2004 (DMSSP 2004) [157]
  • The 1st Workshop on ROC Analysis in Artificial Intelligence (ROCAI-2004) [159]

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June 2004, Volume 6, Issue 1

June 2004, Volume 6, Issue 1

  • Editorial [1]
  • Mining with Rarity: A Unifying Framework [7]
  • A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data [20]
  • Learning from Imbalanced Data Sets with Boosting and Data Generation: The DataBoost-IM Approach [30]
  • Class Imbalances versus Small Disjuncts [40]
  • Minority Report in Fraud Detection: Classification of Skewed Data [50]
  • Extreme Rebalancing for SVMs: a case study [60]
  • A Multistrategy Approach for Digital Text Categorization from Imbalanced Documents [70]
  • Feature Selection for Text Categorization on Imbalanced Data [80]
  • Subspace Clustering for High Dimensional Data: A Review [90]
  • MDM/KDD2003: Multimedia Data Mining [106]
  • Advances in Frequent Itemset Mining Implementations: Report on FIMI 03 (FIMI Repository) [109]

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