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.
By:
Zhengxin Chen (University of Nebraska Omaha Nebraska USA)
Imprint: CRC Press Inc
Country of Publication: United States
Dimensions:
Height: 234mm,
Width: 156mm,
Spine: 20mm
Weight: 630g
ISBN: 9780849312045
ISBN 10: 0849312043
Pages: 256
Publication Date: 13 December 2001
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Undergraduate
,
Further / Higher Education
Format: Hardback
Publisher's Status: Active
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.
