Hybrid Rule Ordering in Classification Association Rule Mining.
Yanbo J. Wang, Qin Xin, Frans Coenen · 2008
Abstract. Classification Association Rule Mining (CARM) is an approach to classifier generation that builds an Association Rule Mining 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. Six major ones can be identified: Confidence Support & size-of-Antecedent (CSA), size-of-