Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics

David Taniar
Indexed In: SCOPUS View 1 More Indices
Release Date: February, 2009|Copyright: © 2009 |Pages: 390
DOI: 10.4018/978-1-60566-232-9
ISBN13: 9781605662329|ISBN10: 1605662321|EISBN13: 9781605662336
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Description & Coverage
Description:

Recent technological advancements in data warehousing have been contributing to the emergence of business intelligence useful for managerial decision making.

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics presents the latest trends, studies, and developments in business intelligence and data warehousing contributed by experts from around the globe. Consisting of four main sections, this book covers crucial topics within the field such as OLAP and patterns, spatio-temporal data warehousing, and benchmarking of the subject.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Business Intelligence
  • Data consistency maintenance in data warehouse systems
  • Data warehouse benchmarking
  • Data warehouse conceptual models
  • Distributed approach to continuous queries
  • Integrated business and production process data warehousing
  • Interactive quality-oriented data warehouse development
  • Multi-node OLAP systems
  • Spatial telemetric data warehouse
  • Spatio-temporal data warehousing
  • Spatio-temporal multigranularity
  • XML document contents with OLAP dimensions
Reviews & Statements

This publication covers important foundations to researches and applications in data warehousing, covering modeling, OLAP and patterns, as well as new directions in benchmarking and evaluating data warehousing. Issues and applications, particularly in spatio-temporal, show a full spectrum of the coverage of important and emerging topics in data warehousing.

– David Taniar, Monash University, Australia

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.

– Book News (May 2009)
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Editor/Author Biographies
David Taniar received his PhD in Databases from Victoria University (Australia, 1997) and is now a Senior Lecturer at Monash University (Australia). He has published more than 100 research articles and edited a number of books in the Web technology series. He is on the editorial board of a number of international journals, including Data Warehousing and Mining, Business Intelligence and Data Mining, Mobile Information Systems, Mobile Multimedia, Web Information Systems, and Web and Grid Services. He has been elected as a Fellow of the Institute for Management of Information Systems (UK).
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Editorial Advisory Board
Associate Editors
  • IXiaohua Hu, Drexel University, USA
  • Wenny Rahayu, La Trobe University, Australia

    International Editorial Advisory Board

  • Hussein Abbass, University of New South Wales, Australia
  • Mafruz Zaman Ashrafi, Institute for Infocomm Research, Singapore
  • Jérôme Darmont, University of Lyon 2, France
  • Lixin Fu, University of North Carolina at Greensboro, USA
  • Lance Chun Che Fung, Murdoch University, Australia
  • Stephan Kudyba, New Jersey Institute of Technology, USA
  • Zongmin Ma, Northeastern University, China
  • Anthony Scime, State University of New York College at Brockport, USA
  • Robert Wrembel, Poznan University of Technology, Poland
  • Xingquan Zhu, Florida Atlantic University, USA