Online Data Mining

Online Data Mining

Héctor 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: © 2005 |Pages: 6
DOI: 10.4018/978-1-59140-560-3.ch072
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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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