Mining of frequent items from a voluminous storage of data is the most favorite topic over the years. Frequent pattern mining has a wide range of real world applications; market basket analysis is one of them. In this paper, we present an overview of modern frequent pattern mining techniques using data mining algorithms. Frequent pattern mining in data mining takes a lot of data base scans. Therefore it is a computationally expensive task. So still there is a need to update and enhance the existing frequent pattern mining techniques so that we can get the more efficient methods for the same task. In this paper, a study of all the modern and most popular frequent pattern mining technique is also performed.
Data Mining, Frequent Item Mining, Support, Confidence, Market Basket Analysis, Parallel Execution
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