Study of Infrequent itemset mining Techniques

Abstract—Pattern mining has become an important task in data mining. Frequent itemsets find application in a number of real-life contexts. Most of the past work has been on finding frequent itemsets, but also infrequent itemset mining has demonstrated its utility in web mining, bioinformatics, fraud detection and other fields. The infrequent itemset mining problem is discovering itemsets whose frequency of occurrence in the analyzed data is less than or equal to a maximum threshold. This paper provide a general overview of the different papers related to infrequent patterns and gives the knowledge on different algorithms proposed for mining infrequent patterns which are basis for future research in the field of pattern mining