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2007
IEEE

A Novel Rule Weighting Approach in Classification Association Rule Mining

10 years 6 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classification Association Rules (CARs). Regardless of which particular CARM algorithm is used, a similar set of CARs is always generated from data, and a classifier is usually presented as an ordered list of CARs, based on a selected rule ordering strategy. Hence to produce an accurate classifier, it is essential to develop a rational rule ordering mechanism. In the past decade, a number of rule ordering strategies have been introduced that can be categorized under three headings: (1) support-confidence, (2) rule weighting, and (3) hybrid. In this paper, we propose an alternative rule weighting scheme, namely CISRW (Class-Item Score based Rule Weighting), and develop a rule weighting based rule ordering mechanism based on CISRW. Subsequently, two hybrid rule ordering strategies are further introduced by combining (1) a...
Yanbo J. Wang, Qin Xin, Frans Coenen
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICDM
Authors Yanbo J. Wang, Qin Xin, Frans Coenen
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