Encyclopedia of Data Warehousing and Mining

Encyclopedia of Data Warehousing and Mining

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- Numerous contributions from international scholars providing comprehensive coverage of theory and concepts of DMW - Examples of best practices and case studies in data mining and warehousing - A renowned, extremely knowledgeable, and demanding editorial advisory board - A compendium of terms, definitions and explanations of concepts, processes and acronyms provided by international experts - Organized by titles and indexed by authors and topics, making it a convenient method of reference for readers - Cross referencing of key terms, figures and information related to DMW - With the purchase of a print copy, your library will have access to the electronic edition of this encyclopedia, free of charge for the life of the edition.XXV Perrizo, Ding, et al. review a category of DM approaches using vertical data structures. ... of data sources refers to the task of developing a common schema, as well as data transformation solutions, for a number of data sources with related content. The large number and size of modern data sources makes manual approaches to integration increasingly impractical. ... Yang Xiang introduces fundamentals of PI domains and explains why common algorithms fail to discover them.

Title:Encyclopedia of Data Warehousing and Mining
Author: John Wang
Publisher:IGI Global - 2006

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