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MLDM
2007
Springer

A Novel Rule Ordering Approach in Classification Association Rule Mining

9 years 5 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-attributes (items) and a pre-defined class, expressed in the form of an “antecedent ⇒ consequent-class” rule. Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using CARs. Regardless of which particular methodology is used to build it, a classifier is usually presented as an ordered CAR list, based on an applied rule ordering strategy. Five existing rule ordering mechanisms can be identified: (1) Confidence-Support-size_of_Antecedent (CSA), (2) size_of_Antecedent-ConfidenceSupport (ACS), (3) Weighted Relative Accuracy (WRA), (4) Laplace Accuracy, and (5) χ2 Testing. In this paper, we divide the above mechanisms into two groups: (i) pure “support-confidence” framework like, and (ii) additive ...
Yanbo J. Wang, Qin Xin, Frans Coenen
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MLDM
Authors Yanbo J. Wang, Qin Xin, Frans Coenen
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