Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (6 Volumes)

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (6 Volumes)

John Wang (Montclair State University, USA)
Release Date: May, 2008|Copyright: © 2008 |Pages: 4092
DOI: 10.4018/978-1-59904-951-9
ISBN13: 9781599049519|ISBN10: 1599049511|EISBN13: 9781599049526
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Description & Coverage
Description:

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications provides the most comprehensive compilation of research available in this emerging and increasingly important field. This six-volume set offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing.

With more than 225 chapters contributed by over 500 experts from 37 countries, this authoritative collection will provide libraries with the essential reference on data mining and warehousing. Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications is a must-have publication for every library.

Coverage:

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

  • Corporate and Managerial Utilization of DWM
  • Data Analysis and Homeland Security
  • Data Mining Implementation
  • Data Warehouse Design and Construction
  • Data Warehouses in Shaping Business Decision Making
  • Elemental Theories of DWM
  • Ethics of Data Mining
  • Federal Data Mining Projects
  • Frameworks for DW Design and Management
  • Governmental Data Mining
  • In-Depth Coverage of Conceptual Architectures and Frameworks
  • Integration of DWM Techniques in Society
  • Methodologies for More Efficient DM
  • Mining with Incomplete Data
  • Multimedia data mining
  • New Trends in Data Mining and Warehousing Research
  • Organizational and Cultural Implications of DWM
  • Organizational Data Mining and Warehousing
  • Overview of Procedures and Methods Essential to DM
  • Practical Methodologies for Designing a Successful DW
  • Up-and-Coming Tools of DWM
  • Web Data Mining
Reviews and Testimonials

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

This reference collection allows researchers to learn about the fundamental theories, latest discoveries, and forthcoming trends in the field of data mining and warehousing.

– John Wang, Montclair State University, USA

This massive 6-volume resource compiles previously published articles on the broad topic of data mining and its storage, with focus on information technology and computer science.

– Book News Inc. (September 2008)

This massive encyclopedia provides the most comprehensive compilation of research available in this emerging and increasingly important field.

– APADE (2008)
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Editor/Author Biographies
John Wang is a professor in the Department of Information & Operations Management 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 a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programs based on his research findings.

He is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Operations Research and Information Systems, and International Journal of Information Systems and Supply Chain Management. He is the Editor of 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 synergy of operations research, data mining and cybernetics.
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Editorial Review Board
Associate Editors
  • Steve Clarke,University of Hull, UK
  • Murray Jennex, San Diego State University, USA
  • Annie Becker, Florida Institute of Technology USA
  • Ari-Veikko Anttiroiko, University of Tampere, Finland
Editorial Advisory Board
  • Sherif Kamel, American University in Cairo, Egypt
  • In Lee, Western Illinois University, USA
  • Jerzy Kisielnicki, Warsaw University, Poland
  • Keng Siau, University of Nebraska-Lincoln, USA
  • Amar Gupta, Arizona University, USA
  • Craig van Slyke, University of Central Florida, USA
  • John Wang, Montclair State University, USA
  • Vishanth Weerakkody, Brunel University, UK