A Comparative Study of Frequent Pattern Mining Algorithms: Apriori and FP Growth on Apache Hadoop

Provided by: Academic Science
Topic: Big Data
Format: PDF
In Data Mining Research, Frequent pattern (item set) mining plays an important role in association rule mining. The Apriori and FP-growth algorithms are the most famous algorithms which can be used for Frequent Pattern mining. The analysis of literature survey would give the information about what has been done previously in the same area, what is the current trend and what are the other related areas. This paper explains the concepts of Frequent Pattern Mining and two important approaches candidate generation approach and without candidate generation.

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