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Progressive Methods in Data Warehousing and Business Intelligence ― Concepts and Competitive Analytics
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Consisting of 16 chapters in four sections, this third volume in the series focuses on research and applications in data warehousing, covering conceptual modeling and development, OLAP and patterns, spatio-temporal data warehousing, and new directions in benchmarking and evaluating data warehousing. Some areas explored include multidimensional analysis of XML document contents with OLAP dimensions, a machine learning approach to data cleaning, using active rules to maintain data consistency in data warehouse systems, spatial data warehouse modeling, and data warehouse benchmarking with DWEB. The audience for the book includes researchers, practitioners, students, information systems developers, and enterprise managers in business and IT-related fields. Taniar is affiliated with Monash University, Australia. Annotation c2009 Book News, Inc., Portland, OR (booknews.com)
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