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Data Mining and Business Intelligence: Tools, Technologies, and Applications

Data Mining and Business Intelligence: Tools, Technologies, and Applications

Jeffrey Hsu
Copyright: © 2004 |Pages: 50
ISBN13: 9781591402060|ISBN10: 1591402069|ISBN13 Softcover: 9781591402800|EISBN13: 9781591402077
DOI: 10.4018/978-1-59140-206-0.ch009
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MLA

Hsu, Jeffrey. "Data Mining and Business Intelligence: Tools, Technologies, and Applications." Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks, edited by Mahesh S. Raisinghani, IGI Global, 2004, pp. 141-190. https://doi.org/10.4018/978-1-59140-206-0.ch009

APA

Hsu, J. (2004). Data Mining and Business Intelligence: Tools, Technologies, and Applications. In M. Raisinghani (Ed.), Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks (pp. 141-190). IGI Global. https://doi.org/10.4018/978-1-59140-206-0.ch009

Chicago

Hsu, Jeffrey. "Data Mining and Business Intelligence: Tools, Technologies, and Applications." In Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks, edited by Mahesh S. Raisinghani, 141-190. Hershey, PA: IGI Global, 2004. https://doi.org/10.4018/978-1-59140-206-0.ch009

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Abstract

Most businesses generate, are surrounded by, and are even overwhelmed by data — much of it never used to its full potential for gaining insights into one’s own business, customers, competition, and overall business environment. By using a technique known as data mining, it is possible to extract critical and useful patterns, associations, relationships, and, ultimately, useful knowledge from the raw data available to businesses. This chapter explores data mining and its benefits and capabilities as a key tool for obtaining vital business intelligence information. The chapter includes an overview of data mining, followed by its evolution, methods, technologies, applications, and future.

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