Contents

• Contents
• List of Figures
• List of Tables
• Introduction
  • Notation
• Case-Based Reasoning
  • Methods
  • Decomposition of CBR
    • Retrieve
    • Reuse
    • Revise
    • Retain
  • An Example
• Data Mining
  • Methods
  • Decomposition
  • Bayesian Networks
    • Bayesian Inference
    • Learning Bayesian Networks
      • Known Structure
      • Unknown Structure
      • An Example of Learning a Network from a Database
    • Missing values
  • An Example
• Integrating DM and CBR
  • Data Mining in Case-Based Reasoning
  • Case-Based Reasoning in Data Mining
  • Integration in Existing Systems
    • General DM-CBR Systems
    • Bayesian Networks-CBR Systems
  • Specification of an Integrated System
  • Tools Used
    • Bayesian Knowledge Discoverer
    • KATE
      • Similarity Metric in KATE
    • Microsoft Belief Networks
• Results
  • The OREDA Database
  • Construction of Casebase
  • Construction of Bayesian Network
  • Experiments with Casebase
  • User-Evaluation of Results
• Discussion
  • The CBRDM Method and Other Approaches
  • Data Mining and Influence on Results
    • The Bayesian Network
    • Differences in Results
    • Why Differences Occur
  • Evaluation of Results
• Conclusion and Further Work
  • Conclusion
  • Further Work
• Proof of Bayes Rule
• SQL Query
• Perl Script Used
• The Bayesian Network Used
• Integrated System Source Code
• Some Tools for BN and CBR
  • Tools for Bayesian Networks
  • Tools for Case-Based Reasoning
• Description of Selected Feature Values
• References