DATA WARE HOUSING AND MINING CONCEPTS METHODOLOGIES TOOLS AND APPLICATIONS 6 VOL.SET

WANG

ISBN 10: 1599049511 / ISBN 13: 9781599049519

Published by Information Science Reference, 2008

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Bibliographic Details

• Title: DATA WARE HOUSING AND MINING CONCEPTS METHODOLOGIES TOOLS AND APPLICATIONS 6 VOL.SET
• Publisher: Information Science Reference
• Publication Date: 2008
• Language: English
• ISBN 10: 1599049511
• ISBN 13: 9781599049519
• Binding: Hardcover
• Condition: Brand New

About this title

Synopsis

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.

About the Author

John Wang is a full professor at Montclair State University. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. He has published more than 100 refereed papers and five books. He has also developed several computer software programs based on his research findings. He is the Editor of the Encyclopedia of Data Warehousing and Mining, 1st and 2nd Edition. Also, he is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Information Systems and Supply Chain Management, International Journal of Data Analysis Techniques and Strategies, International Journal of Information Systems in the Service Sector. He has served as a guest editor and referee for many other highly prestigious journals. His long-term research goal is on the synergy of operations research, data mining and cybernetics.