Data Mining Concepts, Models, Methods, and Algorithms

by Mehmed Kantardzic ISBN:0471228524
John Wiley & Sons © 2003 (343 pages)
This text offers guidance on how and when to use a particular software tool (with their companion data sets) from among the hundreds offered when faced with a data set to mine.





Table of Contents
Data Mining—Concepts, Models, Methods, and Algorithms
Preface
Chapter 1 - Data-Mining Concepts
Chapter 2 - Preparing the Data
Chapter 3 - Data Reduction
Chapter 4 - Learning from Data
Chapter 5 - Statistical Methods
Chapter 6 - Cluster Analysis
Chapter 7 - Decision Trees and Decision Rules
Chapter 8 - Association Rules
Chapter 9 - Artificial Neural Networks
Chapter 10 - Genetic Algorithms
Chapter 11 - Fuzzy Sets and Fuzzy Logic
Chapter 12 - Visualization Methods
Chapter 13 - References
Appendix A - Data-Mining Tools
Appendix B - Data-Mining Applications
Index
List of Figures
List of Tables


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