Association Rule Mining and Application to MPIS

Raymond Chi-Wing Wong; Ada Wai-Chee fu

doi:10.4018/978-1-59140-557-3.ch013

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Association Rule Mining and Application to MPIS

Raymond Chi-Wing Wong (The Chinese University of Hong Kong, Hong Kong) and Ada Wai-Chee fu (The Chinese University of Hong Kong, Hong Kong)

Source Title: Encyclopedia of Data Warehousing and Mining

DOI: 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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Association Rule Mining and Application to MPIS

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