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Integration of Data Mining
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Preface
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
Torgeir Dingsoyr
2/26/1998