DefinePK

Abstract

Data mining research is much occupied with Association rule mining (ARM) wherein these rules attempts to mine frequent items. However, in recent years, there has been an increasing demand for mining the infrequent or rare or minimal correlated items. The point is that interesting relationship among infrequent items has not been discussed much in the literature. In this paper, we conduct a comparative performance study on three such algorithms namely Apriori Rare, Apriori Inverse and CORI. After studying their pros and cons, we suggest how they can be applied in mining the video transaction datasets.