A Review on Efficient Mining Approach of Infrequent Weighted Itemset

Itemset mining is a data mining method extensively used for learning important correlations among data. The aim of association rule mining is to find the correlation between data Items based on frequency of occurrence Infrequent Itemset mining is a variation of frequent itemset mining where it finds the uninteresting patterns i.e., it finds the data items which occurs very rarely. Considering weight for each distinct items in a transaction independent manner adds effectiveness for finding frequent itemset mining. This paper focus on review various existing algorithms related to frequent and infrequent itemset mining which creates a path for future researches in the field of association rule mining.

Provided by: Creative Commons Topic: Data Management Date Added: Nov 2014 Format: PDF

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