Data Mining: A Tutorial Based Primer

Richard J. Roiger, Michael W. Geatz

406 pages, parution le 24/02/2003

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Résumé

Learn Data Mining by Doing Data Mining

Data mining is the discovery of patterns in data to help explain current behavior or predict future outcome. Data Mining:A Tutorial-Based Primer provides an introduction to the data mining process by explaining how it can be used to solve real problems, and then allowing you to do your own data mining! This book provides detail about most aspects of data mining and knowledge discovery, focusing on model building and testing as well as on interpreting and validating results.

Key Features

Uses a hands-on approach that allows you to learn-by-doing.
Contains several real data sets taken from the world of business, medicine and health, and science.
Covers the hottest current topics, such as Web-based data mining, online analytical processing, and data warehouse design.
Comes with a free 180 day trial edition of Intelligent Data Analyzer (IDA), an Excel-based data mining tool that allows you to experimentally build and test data mining models.
Includes coverage of rule-based systems and intelligent agents, which is ideal for courses that combine expert systems with data mining.
Employs numerous projects and examples, making this book suitable as a self-study guide as well as for use in a lab setting.

Contents

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 Pivot Tables : Office 97

Caractéristiques techniques

	PAPIER
Éditeur(s)	Addison Wesley
Auteur(s)	Richard J. Roiger, Michael W. Geatz
Parution	24/02/2003
Nb. de pages	406
Format	18,5 x 23,2
Couverture	Broché
Poids	635g
Intérieur	Noir et Blanc
EAN13	9780201741285
ISBN13	978-0-201-74128-5