Foundations and Novel Approaches in Data Mining

ISBN: 978-3-540-28315-7 (Print) 978-3-540-31229-1 (Online)

Table of contents (20 chapters)

  1. No Access

    Book Chapter

    Pages 1-22

    Commonsense Causal Modeling in the Data Mining Context

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    Book Chapter

    Pages 23-40

    Definability of Association Rules in Predicate Calculus

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    Book Chapter

    Pages 41-59

    A Measurement-Theoretic Foundation of Rule Interestingness Evaluation

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    Book Chapter

    Pages 61-73

    Statistical Independence as Linear Dependence in a Contingency Table

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    Book Chapter

    Pages 75-97

    Foundations of Classification

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    Book Chapter

    Pages 99-126

    Data Mining as Generalization: A Formal Model

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    Book Chapter

    Pages 129-141

    SVM-OD: SVM Method to Detect Outliers1

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    Book Chapter

    Pages 143-153

    Extracting Rules from Incomplete Decision Systems: System ERID

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    Book Chapter

    Pages 155-167

    Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience

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    Book Chapter

    Pages 169-196

    Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction

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    Book Chapter

    Pages 197-212

    Rough Set Strategies to Data with Missing Attribute Values

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    Book Chapter

    Pages 213-227

    Privacy-Preserving Collaborative Data Mining

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    Book Chapter

    Pages 229-242

    Impact of Purity Measures on Knowledge Extraction in Decision Trees

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    Book Chapter

    Pages 243-257

    Multidimensional On-line Mining

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    Book Chapter

    Pages 259-269

    Quotient Space Based Cluster Analysis1

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    Book Chapter

    Pages 272-289

    Research Issues in Web Structural Delta Mining

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    Book Chapter

    Pages 289-310

    Workflow Reduction for Reachable-path Rediscovery in Workflow Mining

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    Book Chapter

    Pages 311-329

    Principal Component-based Anomaly Detection Scheme

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    Book Chapter

    Pages 331-362

    Making Better Sense of the Demographic Data Value in the Data Mining Procedure

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    Book Chapter

    Pages 363-376

    An Effective Approach for Mining Time-Series Gene Expression Profile