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Online Data Mining
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Author(s): He´ctor Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)and Sandra Elizabeth González Císaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina)
Copyright: 2008
Pages: 9
Source title:
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch007
PurchaseView Online Data Mining on the publisher's website for pricing and purchasing information.
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Abstract
Several approaches for intelligent data analysis are not only available but also tried and tested. Online analytical processing (OLAP) and data mining represent two of the most important approaches. They mainly emphasize different aspects of the data and allow deriving of different kinds of information. So far, these approaches have mainly been used in isolation (Schwarz, 2002).
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