An efficient filtration approach for mining association rules

Association rule mining (ARM) is a well-researched domain in the field of data mining. It is seen as a problem of predicting customers purchasing behavior, popularly known as "Market Basket Analysis". This problem can be solved by using Apriori algorithm which is majorly 3-steps (Joining,...

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Bibliographic Details
Main Authors: Goyal, Lalit Mohan, Beg, M. M. Sufyan
Format: Conference Proceeding
Language:English
Subjects:
Apriori algorithm
ARM (Association Rule Mining)
Association rules
Computers
Correlation
Data mining
Filtration
Itemsets
pruning
Online Access:Request full text
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Summary:Association rule mining (ARM) is a well-researched domain in the field of data mining. It is seen as a problem of predicting customers purchasing behavior, popularly known as "Market Basket Analysis". This problem can be solved by using Apriori algorithm which is majorly 3-steps (Joining, Pruning and Verification) process. In this paper, an alternate to Apriori algorithm's pruning step is proposed. This alternative is depicted as a filtration step.
DOI:10.1109/IndiaCom.2014.6828124