Review on High Utility Rare Itemset Mining

Abstract

Today’s era is an era of data. Hence, the most attentive field of research and study is to collect and select the data rapidly as per the need nowadays. Data mining is the field which helps industries to overcome the problem of data extraction. Association rule mining (ARM) is one of the major techniques of data mining which identifies the itemsets appear frequently in the dataset known as frequent itemset and generates the association rules. This helps in decision making. The extension of traditional association rule mining has come up with the concept of utility which should be considered while mining; hence, utility mining aims to identify the itemsets which not only have the frequent occurrences but also have considered the utility of the itemset. High utility itemsets mining can be used as an efficient method to discover interesting patterns. Rare items are items that appear fewer frequently in a database. High utility itemsets can be frequent or rare. Even rare itemsets can also be of high or low utility. In this paper, a literature survey of various research works has been discussed on High Utility Rare Itemset Mining. We have thoroughly surveyed High Utility Rare Itemset Mining methods and applications here. Also, we have focused on some open research issues to represent future challenges in this domain.