Data Mining

A Tutorial Based Primer

Richard J. Roiger, Michael W. Geatz

170 pages, parution le 05/11/2003

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Résumé

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.

I. Data mining fundamentals
- Data Mining: A First View
- Data Mining: A Closer Look
- Basic Data Mining Techniques
- An Excel-Based Data Mining Tool
II. Tools for knowledge discovery
- Knowledge Discovery in Databases
- The Data Warehouse
- Formal Evaluation Techniques
III. Advanced data mining techniques
- Neural Networks
- Building Neural Networks with iDA
- Statistical Techniques
- Specialized Techniques
IV. Intelligent systems
- Rule-Based Systems
- Managing Uncertainty in Rule-Based Systems
- Intelligent Agents
Appendix
- Appendix A: Software Installation
- Appendix B: Datasets for Data Mining
- Appendix C: Decision Tree Attribute Selection
- Appendix D: Statistics for Performance Evaluation
- Appendix E: Excel 97 Pivot Tables

Caractéristiques techniques

	PAPIER
Éditeur(s)	Addison Wesley
Auteur(s)	Richard J. Roiger, Michael W. Geatz
Parution	05/11/2003
Nb. de pages	170
Format	19 x 23
Couverture	Broché
Poids	640g
Intérieur	Noir et Blanc
EAN13	9780321223494