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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December 2003, Volume 5, Issue 2

December 2003, Volume 5, Issue 2

  • Editorial []
  • Microarray Data Mining: Facing the Challenges [1]
  • A Novel Approach to Determine Normal Variation in Gene Expression Data [6]
  • Gene Ranking Using Bootstrapped P-values [16]
  • Improving Classification of Microarray Data using Prototype-based Feature Selection [23]
  • Supervised Analysis When the Number of Candidate Features (p) Greatly Exceeds The Number of Cases (n) [31]
  • Differential Expression, Class Discovery and Class Prediction using S-PLUS and S+ArrayAnalyzer [38]
  • Machine Learning Methods Applied to DNA Microarray Data Can Improve the Diagnosis of Cancer [48]
  • Loss-Based Estimation with Cross-Validation: Applications to Microarray Data Analysis [56]
  • Classification of Heterogeneous Gene Expression Data [69]
  • Toward Interactive Exploration of Gene Expression Patterns [79]
  • Graphical Modeling Based Gene Interaction Analysis for Microarray Data [91]
  • Meta-Clustering of Gene Expression Data and Literature-based Information [101]
  • Mining Biologically Active Patterns in Metabolic Pathways using Microarray Expression Profiles [113]
  • Statistical Methods for Joint Data Mining of Gene Expression and DNA Sequence Data [122]
  • Machine Learning in Low-Level Microarray Analysis [130]
  • "In vivo" Spam Filtering: A Challenge Problem for KDD [140]
  • Overview of the KDD Cup 2003 [149]
  • Citation Prediction Using Time Series Approach KDD Cup 2003 (Task 1) [152]
  • Predicting citation rates for physics papers: Constructing features for an ordered probit model [154]
  • A Data Cleaning Solution by Perl Scripts for the KDD Cup 2003 Task 2 [158]
  • The Download Estimation Task on KDD Cup 2003 [160]
  • Model Builder for Predictive Analytics and Fair Isaac's Approach to KDD Cup 2003 [163]
  • Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics [165]
  • Using Unsupervised Link Discovery Methods to Find Interesting Facts and Connections in Bibliography Dataset [173]
  • The Myth of the Double-Blind Review? Author Identification Using Only Citations [179]
  • EqRank: A Self-Consistent Equivalence Relation on Graph Vertexes [185]
  • Summary from the KDD-03 Panel -- Data Mining: The Next 10 Years [191]
  • KDD-2003 Workshop on Data Mining Standards, Services and Platforms (DM-SSP 03) [197]
  • Data Mining in Bioinformatics: Report on BIOKDD '03 [198]
  • Multirelational Data Mining 2003: Workshop Report [200]
  • Advertisements []

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July 2003, Volume 5, Issue 1

July 2003, Volume 5, Issue 1

  • Editorial: Multi-Relational Data Mining: The Current Frontiers []
  • Multi-Relational Data Mining: An Introduction [1]
  • Scalability and Efficiency in Multi-Relational Data Mining [17]
  • Probabilistic Logic Learning [31]
  • A Survey of Kernels for Structured Data [49]
  • State of the Art of Graph-based Data Mining [59]
  • Biological Applications of Multi-Relational Data Mining [69]
  • Prospects and Challenges for Multi-Relational Data Mining [80]
  • Link Mining: A New data Mining Challenge [84]
  • Graph-based Relational Learning: Current and Future Directions [90]
  • Exploratory Medical Knowledge Discovery: Experiences and Issues [94]
  • A Report on the Summer School on Relational Data Mining [100]

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December 2002, Volume 4, Issue 2

December 2002, Volume 4, Issue 2

  • Editorial []
  • Data Mining, National Security, Privacy and Civil Liberties [1]
  • The Inference Problem: A Survey [6]
  • Cryptographic Techniques for Privacy-Preserving Data Mining [12]
  • Database Privacy [20]
  • Tools for Privacy Preserving Data Mining [28]
  • Applying Data Mining to Intrusion Detection: The Quest for Automation, Efficiency, and Credibility [35]
  • Randomization in Privacy-Preserving Data Mining [43]
  • A Survey on Wavelet Applications in Data Mining [49]
  • A Perspective on Inductive Databases [69]
  • The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing [78]
  • Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles [87]
  • Rule-based Extraction of Experimental Evidence in the Biomedical Domain - the KDD Cup (Task 1) [90]
  • A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1) [93]
  • Automatic Scientific Text Classification Using Local Patterns: KDD CUP 2002 (Task 1) [95]
  • The Genomics of a Signaling Pathway: A KDD Cup Challenge Task [97]
  • One Class SVM for Yeast Regulation Prediction [99]
  • Predicting the Effects of Gene Deletion [101]
  • Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study [104]
  • Feature Engineering for a Gene Regulation Prediction Task [106]
  • P-tree Classification of Yeast Gene Deletion Data [108]
  • Report on the SIGKDD-2002 Panel The Perfect Data Mining Tool: Interactive or Automated [110]
  • BIOKDD 2002: Recent Advances in Data Mining for Bioinformatics [112]
  • KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches [115]
  • MDM/KDD2002: Multimedia Data Mining between Promises and Problems [118]
  • Multi-Relational Data Mining: a Workshop Report [122]
  • WEBKDD 2002 - Web Mining for Usage Patterns & Profiles [125]
  • The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003) []
  • Advertisements []

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June 2002, Volume 4, Issue 1

June 2002, Volume 4, Issue 1

  • Editorial []
  • Classification Trees for Problems with Monotonicity Constraints [1]
  • SPARTAN: Using Constrained Models for Guaranteed Error Semantic Compression [11]
  • Learning Missing Values from Summary Constraints [21]
  • Constrained Frequent Pattern Mining: A Pattern-Growth View [31]
  • Exploiting Succinct Constraints using FP-trees [40]
  • Is Pushing Constraints Deeply into the Mining Algorithms Really What We Want? [50]
  • J. Hipp and U. G√ľntzer [56]
  • Why so many clustering algorithms -- A Position Paper [65]
  • News, Events, and Announcements [76]

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