Dynamic K: A Novel Satisfaction Mechanism for CAR-Based Classifiers

Abstract

In this paper, we propose a novel satisfaction mechanism, named "Dynamic K", which could be introduced in any Class Association Rules (CAR) based classifier, to determine the class of unseen transactions. Experiments over several datasets show that the new satisfaction mechanism has better performance than the main satisfaction mechanism reported ("Best Rule", "Best K Rules" and "All Rules"). Additionally, the experiments show that "Dynamic K" obtains the best results independent of the CAR-based classifier used.