Association Rule Mining and Application to MPIS

Association Rule Mining and Application to MPIS

Raymond Chi-Wing Wong, Ada Wai-Chee fu
Copyright: © 2005 |Pages: 5
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch013
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MLA

Chi-Wing Wong, Raymond, and Ada Wai-Chee fu. "Association Rule Mining and Application to MPIS." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 65-69. https://doi.org/10.4018/978-1-59140-557-3.ch013

APA

Chi-Wing Wong, R. & Wai-Chee fu, A. (2005). Association Rule Mining and Application to MPIS. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 65-69). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch013

Chicago

Chi-Wing Wong, Raymond, and Ada Wai-Chee fu. "Association Rule Mining and Application to MPIS." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 65-69. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch013

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Abstract

Association rule mining (Agrawal, Imilienski, & Swami, 1993) has been proposed for understanding the relationships among items in transactions or market baskets. For instance, if a customer buys butter, what is the chance that he/she buys bread at the same time? Such information may be useful for decision makers to determine strategies in a store.

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