Foundations and Novel Approaches in Data Mining

Lawrence J. Mazlack (auth.), Professor Tsau Young Lin, Professor Setsuo Ohsuga, Dr. Churn-Jung Liau, Professor Xiaohua Hu (eds.)354026549X, 9783540265498, 3540283153

Data-mining has become a popular research topic in recent years for the treatment of the “data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

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Table of contents :
Commonsense Causal Modeling in the Data Mining Context….Pages 1-22
Definability of Association Rules in Predicate Calculus….Pages 23-40
A Measurement-Theoretic Foundation of Rule Interestingness Evaluation….Pages 41-59
Statistical Independence as Linear Dependence in a Contingency Table….Pages 61-73
Foundations of Classification….Pages 75-97
Data Mining as Generalization: A Formal Model….Pages 99-126
SVM-OD: SVM Method to Detect Outliers1….Pages 129-141
Extracting Rules from Incomplete Decision Systems: System ERID….Pages 143-153
Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience….Pages 155-167
Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction….Pages 169-196
Rough Set Strategies to Data with Missing Attribute Values….Pages 197-212
Privacy-Preserving Collaborative Data Mining….Pages 213-227
Impact of Purity Measures on Knowledge Extraction in Decision Trees….Pages 229-242
Multidimensional On-line Mining….Pages 243-257
Quotient Space Based Cluster Analysis1….Pages 259-269
Research Issues in Web Structural Delta Mining….Pages 272-289
Workflow Reduction for Reachable-path Rediscovery in Workflow Mining….Pages 289-310
Principal Component-based Anomaly Detection Scheme….Pages 311-329
Making Better Sense of the Demographic Data Value in the Data Mining Procedure….Pages 331-362
An Effective Approach for Mining Time-Series Gene Expression Profile….Pages 363-376