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An Intelligent Support System Integrating Data Mining and Online Analytical Processing

An Intelligent Support System Integrating Data Mining and Online Analytical Processing

Rahul Singh, Richard T. Redmond, Victoria Yoon
Copyright: © 2004 |Pages: 16
ISBN13: 9781591401346|ISBN10: 1591401348|EISBN13: 9781591401353
DOI: 10.4018/978-1-59140-134-6.ch010
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MLA

Singh, Rahul, et al. "An Intelligent Support System Integrating Data Mining and Online Analytical Processing." Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance, edited by Hamid Nemati and Christopher D. Barko, IGI Global, 2004, pp. 141-156. https://doi.org/10.4018/978-1-59140-134-6.ch010

APA

Singh, R., Redmond, R. T., & Yoon, V. (2004). An Intelligent Support System Integrating Data Mining and Online Analytical Processing. In H. Nemati & C. Barko (Eds.), Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance (pp. 141-156). IGI Global. https://doi.org/10.4018/978-1-59140-134-6.ch010

Chicago

Singh, Rahul, Richard T. Redmond, and Victoria Yoon. "An Intelligent Support System Integrating Data Mining and Online Analytical Processing." In Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance, edited by Hamid Nemati and Christopher D. Barko, 141-156. Hershey, PA: IGI Global, 2004. https://doi.org/10.4018/978-1-59140-134-6.ch010

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Abstract

Intelligent decision support requires flexible, knowledge-driven analysis of data to solve complex decision problems faced by contemporary decision makers. Recently, online analytical processing (OLAP) and data mining have received much attention from researchers and practitioner alike, as components of an intelligent decision support environment. Little that has been done in developing models to integrate the capabilities of data mining and online analytical processing to provide a systematic model for intelligent decision making that allows users to examine multiple views of the data that are generated using knowledge about the environment and the decision problem domain. This paper presents an integrated model in which data mining and online analytical processing complement each other to support intelligent decision making for data rich environments. The integrated approach models system behaviors that are of interest to decision makers; predicts the occurrence of such behaviors; provides support to explain the occurrence of such behaviors and supports decision making to identify a course of action to manage these behaviors.

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