Online Data Mining

Online Data Mining

Héctor Oscar Nigro, Sandra Elizabeth González Císaro
Copyright: © 2005 |Pages: 6
ISBN13: 9781591405603|ISBN10: 1591405602|EISBN13: 9781591407959
DOI: 10.4018/978-1-59140-560-3.ch072
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MLA

Nigro, Héctor Oscar, and Sandra Elizabeth González Císaro. "Online Data Mining." Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, et al., IGI Global, 2005, pp. 427-432. https://doi.org/10.4018/978-1-59140-560-3.ch072

APA

Nigro, H. O. & González Císaro, S. E. (2005). Online Data Mining. In L. Rivero, J. Doorn, & V. Ferraggine (Eds.), Encyclopedia of Database Technologies and Applications (pp. 427-432). IGI Global. https://doi.org/10.4018/978-1-59140-560-3.ch072

Chicago

Nigro, Héctor Oscar, and Sandra Elizabeth González Císaro. "Online Data Mining." In Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, Jorge Horacio Doorn, and Viviana E. Ferraggine, 427-432. Hershey, PA: IGI Global, 2005. https://doi.org/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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