Data Warehouse and Data Mining

Author: Chen Wenwei
Publisher:
Publish Date: 2004-01-01
Features: Data Warehousing (DW) and Data Mining (DM) are emerging technologies that rose to prominence in the mid-1990s. Data warehousing is used for decision analysis, while data mining is used to discover knowledge from databases. The combination of data warehousing and data mining opens new directions for Decision Support Systems (DSS) and are also key technologies for Business Intelligence (BI). This book primarily introduces data warehouse systems, data acquisition and management in data warehouses, the design and development of data warehouses, Online Analytical Processing (OLAP), data mining and text mining, decision tree methods, rough set methods and association rule mining, formula discovery, neural networks and genetic algorithms, case-based reasoning, decision support systems and business intelligence. This book incorporates the author's many years of research achievements in data warehousing and data mining. It can serve as a textbook for senior undergraduate and graduate students in computer science, management science, systems engineering, and related disciplines, as well as a reference for technical personnel in relevant fields.