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SVM-OD: SVM method to detect outliers

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Commonsense Causal Modeling in the Data Mining Context
  3. Altmetric Badge
    Chapter 2 Definability of Association Rules in Predicate Calculus
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    Chapter 3 A Measurement-Theoretic Foundation of Rule Interestingness Evaluation
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    Chapter 4 Statistical Independence as Linear Dependence in a Contingency Table
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    Chapter 5 Foundations of Classification
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    Chapter 6 Data Mining as Generalization: A Formal Model
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    Chapter 7 SVM-OD: SVM Method to Detect Outliers1
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    Chapter 8 Extracting Rules from Incomplete Decision Systems: System ERID
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    Chapter 9 Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience
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    Chapter 10 Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction
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    Chapter 11 Rough Set Strategies to Data with Missing Attribute Values
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    Chapter 12 Privacy-Preserving Collaborative Data Mining
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    Chapter 13 Impact of Purity Measures on Knowledge Extraction in Decision Trees
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    Chapter 14 Multidimensional On-line Mining
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    Chapter 15 Quotient Space Based Cluster Analysis1
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    Chapter 16 Research Issues in Web Structural Delta Mining
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    Chapter 17 Workflow Reduction for Reachable-path Rediscovery in Workflow Mining
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    Chapter 18 Principal Component-based Anomaly Detection Scheme
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    Chapter 19 Making Better Sense of the Demographic Data Value in the Data Mining Procedure
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    Chapter 20 An Effective Approach for Mining Time-Series Gene Expression Profile
Attention for Chapter 20: An Effective Approach for Mining Time-Series Gene Expression Profile
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Chapter title
An Effective Approach for Mining Time-Series Gene Expression Profile
Chapter number 20
Book title
Foundations and Novel Approaches in Data Mining
Published by
Springer, Berlin, Heidelberg, November 2005
DOI 10.1007/11539827_20
Book ISBNs
978-3-54-028315-7, 978-3-54-031229-1
Authors

Vincent S. M. Tseng, Yen-Lo Chen, S. M. Tseng, Vincent, Chen, Yen-Lo

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