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 warehousing and mining 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 warehousing and mining.
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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.
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