Table of Contents

I Information-Theoretic Approach to Knowledge Discovery.- 1 Introduction.- 2 Automated Data Pre-Processing.- 3 Information-Theoretic Connectionist Networks.- 4 Post-Processing of Data Mining Results.- II Application Methodology and Case Studies.- 5 Methodology of Application.- 6 Case Studies.- III Comparative Study and Advanced Issues.- 7 Comparative Study.- 8 Advanced data mining methods.- 9 Summary and Some Open Problems.- Appendix A.- 1. Entropy H(X).- 2. Joint Entropy and Conditional Entropy.- 3. Relative Entropy and Mutual Information.- Appendix B.- 1. Breast Cancer Database.- 2. Chess Endgames.- 3. Credit Approval Database.- 4. Diabetes Database.- 5. Glass Identification Database.- 6. Heart Disease (Cleveland) Database.- 7. Iris Plants Database.- 8. Liver Database.- 9. Lung Cancer Database.- 10. Wine Database.