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,

• Type: Conference
• Year: 2008
• Where: ICDM
• Authors: Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y. Li
• Keywords: Association Rule, Data Mining, ICDM 2008, Knowledge Model