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2008
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Mining Allocating Patterns in One-Sum Weighted Items

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Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction database attributes (items), expressed in the form of an “antecedent ⇒ consequent” rule. A variant of the AR is the Weighted Association Rule (WAR). With regard to a marketing context, this paper introduces a new knowledge model in data mining  ALlocating Pattern (ALP). An ALP is a special form of WAR, where each rule item is associated with a weighting score between 0 and 1,
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICDM
Authors Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y. Li
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