A State-of-the-Art Association Rule Mining Survey and its Rare Application, Challenges, Progress

Abstract

In recent years, association rule mining is exploring its popularity in the rule mining research communities. In this paper, we present the taxonomy of association patterns analysis approaches in depth. The association patterns analysis is based on support constraints, interestingness, and patterns dimension from different levels of abstraction. An in-depth research statistical view is presented in each category of the association patterns analysis research. Among the identified association rule mining research categories, we have selected rare pattern mining for further exploration of our study. Analysis of rare patterns is very much helpful in determining the rare relationships between patterns. Also, we will identify novel rare data patterns analysis techniques to solve the various problems in real-life applications. The overall research impact in the association rule mining research domain can be found in this review article. It will focus on various research scopes and the future directions of rule mining as well as rare pattern mining research.