High Utility Itemset Mining-Impact, Analysis and Applications

Abstract

Frequent Itemset Mining has been playing an important role in extracting meaningful knowledge from the transaction database, where knowledge is extracted using frequency measure. However, such knowledge doesn’t help in making decision that is profitable to the organization or not. In this regard, Utility measure has been used widely for deriving meaningful highly profitable items that are associated with transaction database, named as High Utility Itemset Mining. It has been attracted by many applications and led to variety of knowledge with efficient approaches. In this paper, we present the importance, utility framework, approaches of classification towards HUIM, research advances and opportunities.