Data Mining: A Tutorial Based Primer

This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded perspective. A basic familiarity with the field of data mining concepts is built and then enhanced via 13 data mining tutorials. Upon completion of these tutorials, students will be fully able to data mine. This book is appropriate for students of CS, MIS, and Information Technology.

Table of Contents

Preface.

I. DATA MINING FUNDAMENTALS.

1. Data Mining: A First View.
2. Data Mining: A Closer Look.
3. Basic Data Mining Techniques.
4. An Excel-Based Data Mining Tool.

II. TOOLS FOR KNOWLEDGE DISCOVERY.

5. Knowledge Discovery in Databases.
6. The Data Warehouse.
7. Formal Evaluation Techniques. 

III. ADVANCED DATA MINING TECHNIQUES.

8. Neural Networks.
9. Building Neural Networks with iDA.
10. Statistical Techniques.
11. Specialized Techniques.

IV. INTELLIGENT SYSTEMS.

12. Rule-Based Systems.
13. Managing Uncertainty in Rule-Based Systems.
14. Intelligent Agents.
Appendix.
Bibliography.