Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

John Wang (Montclair State University, USA)
Release Date: August, 2008|Copyright: © 2009 |Pages: 2542
DOI: 10.4018/978-1-60566-010-3
ISBN13: 9781605660103|ISBN10: 1605660108|EISBN13: 9781605660110
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Description & Coverage
Description:

There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest.

The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Coverage:

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

  • A-Z overview of DWM
  • Data pre-processing and post-processing
  • Data privacy and security
  • DWM applications in the real world
  • From Bayesian networks to Dempster-Shafer theory
  • From fractal DM to survival DM
  • From microarray DM to multimedia DM
  • From semantic-based DM to symbiotic DM
  • From vertical DM to evolutionary DM
  • Future and emerging trends in DWM
  • Intrusion and damage detection
Reviews & Statements

"The book provides a comprehensive overview of available approaches, techniques, open problems and applications related to data warehousing and mining. It will become, without any doubts, a major source of information for practitioners, researchers, and students interested in this relatively new exciting field."

– Dr. Zbigniew W. Ras, Professor and KDD Laboratory Director, University of North Carolina, Charlotte, USA

"With its tremendous coverage, I believe that the book will become an invaluable research resource and important reference in this field."

– Zhi-Hua Zhou, Professor, LAMDA Group, National Key Laboratory for Novel Software Technology, Nanjing University, China

"The book is an excellent reference for students, researchers, and practitioners alike. Its coverage of a broad range of topics from both theoretical and application-oriented perspectives makes it the place to start when learning any topic within data mining. The book is ideal for researchers and practitioners due to its unusually broad coverage of topics from both theoretical and application-oriented perspectives."

– Nikunj C. Oza, Intelligent Systems Division, NASA Ames Research Center, USA.

The book will be a fundamental point of reference for scientific research and student learning in this area vital in the leadership for the near future in science and engineering.

– José A. Moreno, Professor, University of La Laguna, Dept of Statistics, O.R. and Computation, Spain

"Each article concludes with a list of references and a helpful list of keywords and their definitions. The articles are written in an exploratory style, each including sections of introduction, background, future trends, and conclusion making the work especially suitable for college students and researchers."

– Book News Inc. (December 2008)

"The collection appears to be incredibly authoritative and professional, while conveying a broad and thorough range of viewpoints. The Encyclopedia is an excellant source of information for researchers interested in any aspect of data warehousing and mining, or by researchers struggling to extract meaning from large collections of data."

– American Reference Books Annual, Vol. 40 (2009)

"This book is a collection of 332 invited contributions in the area of data warehousing and data mining. The scope of the entries is very broad, encompassing the whole field - every topic is probably included somewhere."

– Online Information Review (2009)
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Editor/Author Biographies
John Wang is a professor in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with two special range adjustments in 2006 and 2009, respectively. He has published over 100 refereed papers and seventeen books. He has also developed several computer software programs based on his research findings.

He serves as Editor-in-Chief for ten Scopus-indexed journals, such as Int. J. of Business Analytics, Int. J. of Information Systems and Supply Chain Management, Int. J. of Information Systems in the Service Sector, Int. J. of Applied Management, Int. J. of Information and Decision Sciences, Int. J. of Data Mining, Modelling and Management, etc. He is the Editor of Encyclopedia of Business Analytics and Optimization (five volumes), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the cooperation of operations research, data mining and cybernetics.

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Editorial Advisory Board
  • Huan Liu, Arizona State University, USA
  • Sach Mukherjee, University of Oxford, England, UK
  • Alan Oppenheim, Montclair State University, USA
  • Marco Ramoni, Harvard University, USA
  • Mehran Sahami, Stanford University, USA
  • Alexander Tuzhilin, New York University, USA
  • Ning Zhong, Maebashi Institute of Technology, Japan
  • Zhi-Hua Zhou, Nanjing University, China