The survey on rare association rule mining

Author : Ankur narendrabhai shah

Keyword : Data mining, association rule mining, rare item sets, frequent pattern, fp-growth, mis-tree, cp-tree

Subject : Engineering research

Article Type : Review article

Article QR Code

Article File : Full Text PDF

Abstract : To Analyze, manage and make a decision of such type of huge amount of data we need techniques called Data mining. Association rule mining is the most important technique in the field of data mining. The main task of association rule mining is to mine association rules by using minimum support thresholds decided by the user, to find the frequent patterns. Association rule mining approach is suffered from “rare item problem”. A number of methods and techniques have been developed for rare association rule mining in data mining like Apriori-algorithm, MSapriori algorithm, FP-growth, RSAA algorithm used for retrieving mining frequent patterns. While MIS-tree is widely crucial information about frequent pattern & finds different frequent item sets. Moreover, discuss CP-tree is efficient for frequent pattern mining & interactive and incremental mining.

Article by : Ankur N Shah

Article add date : 2020-12-01

How to cite : Ankur narendrabhai shah. (2020-December-01). The survey on rare association rule mining. retrieved from https://www.openacessjournal.com/abstract/386