Data Mining: Building Competitive Advantage for Enterprises (Includes CD-ROM)

Author: (USA) Gross
Publisher:
Publish Date: 2001-08-01
Features: This book introduces data mining, a new technology in the field of database, in a practical style. It is divided into three parts. The first part primarily introduces the basic concepts, terminology, methods, processes, and common mining algorithms of data mining, such as decision trees, cluster analysis, genetic algorithms, neural networks, Bayesian belief networks, statistical analysis, and association rule analysis. It also provides an in-depth introduction to the state of the data mining tool market, major vendors, and information sources. The second part introduces two currently popular data mining tool products: KnowledgeSEEKER and RightPointDataCruncher. The accompanying CD-ROM also provides demonstration versions of these two products. The third part uses numerous real-world examples to illustrate the application of data mining technology in industries such as banking, finance, retail, healthcare, and telecommunications, and demonstrates the techniques and methods for conducting data mining based on data warehouses. This book is primarily aimed at practical workers in enterprises engaged in business management, marketing, and computer information system development. Therefore, it is highly valuable for a broad range of corporate practitioners to quickly understand and master data mining technology. This book can serve as both a training textbook for data mining technology and a teaching reference for senior undergraduate and graduate students, as well as instructors, in computer information system-related fields.