Handbook of Statistical Analysis and Data Mining Applications [With DVD] (Hardcover)

Preface
Forwards
Introduction

PART I: History of Phases of Data Analysis, Basic Theory, and the Data Mining Process
Chapter 1. History ? The Phases of Data Analysis throughout the Ages
Chapter 2. Theory
Chapter 3. The Data Mining Process
Chapter 4. Data Understanding and Preparation
Chapter 5. Feature Selection ? Selecting the Best Variables
Chapter 6: Accessory Tools and Advanced Features in Data

PART II: - The Algorithms in Data Mining and Text Mining, and the Organization of the Three most common Data Mining Tools
Chapter 7. Basic Algorithms
Chapter 8: Advanced Algorithms
Chapter 9. Text Mining
Chapter 10. Organization of 3 Leading Data Mining Tools
Chapter 11. Classification Trees = Decision Trees
Chapter 12. Numerical Prediction (Neural Nets and GLM
Chapter 13. Model Evaluation and Enhancement
Chapter 14. Medical Informatics
Chapter 15. Bioinformatics
Chapter 16. Customer Response Models
Chapter 17. Fraud Detection

PART III: Tutorials - Step-by-Step Case Studies as a Starting Point to learn how to do Data Mining Analyses
Tutorials

PART IV: Paradox of Complex Models; using the “right model for the right use?, on-going development, and the Future.
Chapter 18: Paradox of Ensembles and Complexity
Chapter 19: The Right Model for the Right Use
Chapter 20: The Top 10 Data Mining Mistakes
Chapter 21: Prospect for the Future ? Developing Areas in Data Mining
Chapter 22: Summary

GLOSSARY of STATISICAL and DATA MINING TERMS
INDEX
CD ? With Additional Tutorials, data sets, Power Points, and Data Mining software