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Online Data Mining

Online Data Mining

He´ctor Oscar Nigro, Sandra Elizabeth González Císaro
Copyright: © 2008 |Pages: 9
ISBN13: 9781599049519|ISBN10: 1599049511|EISBN13: 9781599049526
DOI: 10.4018/978-1-59904-951-9.ch007
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MLA

Nigro, He´ctor Oscar, and Sandra Elizabeth González Císaro. "Online Data Mining." Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, IGI Global, 2008, pp. 75-83. https://doi.org/10.4018/978-1-59904-951-9.ch007

APA

Nigro, H. O. & González Císaro, S. E. (2008). Online Data Mining. In J. Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (pp. 75-83). IGI Global. https://doi.org/10.4018/978-1-59904-951-9.ch007

Chicago

Nigro, He´ctor Oscar, and Sandra Elizabeth González Císaro. "Online Data Mining." In Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, 75-83. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-951-9.ch007

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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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