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Data Mining in Practice

Data Mining in Practice

Sherry Y. Chen, Xiaohui Liu
Copyright: © 2005 |Pages: 6
ISBN13: 9781591405535|ISBN10: 159140553X|EISBN13: 9781591407942
DOI: 10.4018/978-1-59140-553-5.ch126
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MLA

Chen, Sherry Y., and Xiaohui Liu. "Data Mining in Practice." Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2005, pp. 723-728. https://doi.org/10.4018/978-1-59140-553-5.ch126

APA

Chen, S. Y. & Liu, X. (2005). Data Mining in Practice. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, First Edition (pp. 723-728). IGI Global. https://doi.org/10.4018/978-1-59140-553-5.ch126

Chicago

Chen, Sherry Y., and Xiaohui Liu. "Data Mining in Practice." In Encyclopedia of Information Science and Technology, First Edition, edited by Mehdi Khosrow-Pour, D.B.A., 723-728. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-553-5.ch126

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Abstract

There is an explosion in the amount of data that organizations generate, collect, and store. Organizations are gradually relying more on new technologies to access, analyze, summarize, and interpret information intelligently and automatically. Data mining, therefore, has become a research area with increased importance (Amaratunga & Cabrera, 2004). Data mining is the search for valuable information in large volumes of data (Hand, Mannila, & Smyth, 2001). It can discover hidden relationships, patterns, and interdependencies, and generate rules to predict the correlations, which can help the organizations make critical decisions faster or with a greater degree of confidence (Gargano & Raggad, 1999).

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