Intelligent Data Warehousing: From Data Preparation to Data...

Features

• Cover Type: Hard Cover with 256 pages
• Published by: CRC
• Edition: 1st Edition December 13, 2001
• Written in: English
• ISBN 10 Number: 0849312043
• ISBN 13 Number: 978-0849312045
• Book Dimensions: 9.5 x 6.2 x 0.8 inches
• Weighs: 1.1 pounds

Product Description
Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a subdiscipline of management information systems (MIS), in fact many of its advances have and will continue to come from the computer science arena. Intelligent Data Warehousing presents the state of the art in data warehousing research and practice from a perspective that integrates business applications and computer science. It brings the intelligent techniques associated with artificial intelligence (AI) to the entire process of data warehousing, including data preparation, storage, and mining. Part I provides an overview of the main ideas and basics of data mining, artificial intelligence, business intelligence, and data warehousing. Part II presents core materials on data warehousing, and Part III explores data analysis and knowledge discovery in the data warehousing environment, including how to perform intelligent data analysis and the discovery of influential association patterns. Bridging the gap between theoretical research and business applications, this book summarizes the main ideas behind recent research developments rather than setting forth technical details, and it presents case studies that show the how-to's of implementing these ideas. The result is a practical, first-of-its-kind book that brings together scattered research, unites MIS with computer science, and melds intelligent techniques with data warehousing.

Book Info
Presents state of the art data warehousing research and practice from an integrated business and computer science perspective. Broadens the scope of data mining by discussing it in terms of data warehousing.