
Intelligent Data Warehousing
From Data Preparation to Data Mining
Zhengxin Chen(Author)
CRC Press
1st Edition
Published on 13. December 2001
Book
Hardback
256 pages
978-0-8493-1204-5 (ISBN)
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 fundamentals 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.
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 fundamentals 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.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional Practice & Development
Illustrations
14 s/w Abbildungen, 9 s/w Photographien bzw. Rasterbilder
9 Halftones, black and white; 14 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
630 gr
ISBN-13
978-0-8493-1204-5 (9780849312045)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
12/2001
CRC Press
€205.99
Available for download

E-Book
12/2001
1st Edition
CRC Press
€205.99
Available for download
Person
Zhengxin Chen
Content
Introduction. Business Intelligence, Artificial Intelligence, and Data Analysis. Basics of Data Warehousing. Data Preprocessing. Building Data Warehouses. Materialized Views. Computational Intelligence for Data Analysis. Data Mining Techniques. Discovery of Influential Association Patterns. References.