Data Mining: Building Competitive Advantage for Enterprises

Author: R. Gross [USA]
Publisher:
Publish Date: 2001-08-01
Features: Data mining is a relatively new technology that has developed in the past few decades. Its content involves machine learning in the field of artificial intelligence, knowledge discovery, and aspects such as data warehouses, online analytical processing (OLAP), and multidimensional databases in the field of databases. Data mining has been recognized as one of the most effective means to address the current "data explosion" and "lack of information" challenges in enterprise information systems. Therefore, it has not only attracted widespread attention from academia but also significant interest from the business community. However, no books on data mining have been formally published in China yet, making it urgent to have a book on this topic to meet readers' needs.
Table of Contents:
Part 1: Introduction
Chapter 1: Introduction to Data Mining
Chapter 2: An Introduction to Data Mining
Chapter 3: The Data Mining Process
Chapter 4: Data Mining Algorithms
Chapter 5: The Data Mining Market
Part 2: Tools
Chapter 6: Application of Decision Tree Methods in Data Mining
Chapter 7: Case Studies of Agent Network Technology
Part 3: Applications
Chapter 8: Applications of Data Mining in Several Industries
Chapter 9: Data Mining Based on Data Warehouses
Appendix A: Data Mining Product Manufacturers
Appendix B: Installation of Demonstration Programs