Data warehousing and mining: concepts, methodologies, tools, and applications, Volume 2

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IGI Global, Jun 15, 2008 - Business & Economics - 3719 pages
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In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data. 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 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing.

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Contents

Volume
iii
28 Best Practices in Data Warehousing from the Federal
iv
Volume 1
x
Copyright

27 other sections not shown

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About the author (2008)

John Wang is a full professor in the Department of Management & Information Systems at Montclair State University. Having received a scholarship award, he came to the USA and completed his PhD in operations research at Temple University (1990). He has published over 100 refereed papers and four books. He has also developed several computer software programs based on his research findings. He is the Editor-in-Chief of the International Journal of Information Systems and Supply Chain Management. Also, he is the Editor of the Encyclopedia of Data Warehousing and Mining, 1st and 2nd Edition. He is on the editorial board of the International Journal of Cases on Electronic Commerce and has been a guest editor and referee for Operations Research, IEEE Transactions on Control Systems Technology, and many other highly prestigious journals. His long-term research goal is on the synergy of operations research, data mining and cybernetics.

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