Details for Paper Id: 98

Title: FIN ALGORITHM FOR GENERATING FREQUENT ITEMSET IN BIG DATA
Abstract: Big data being an emerging research area, handling issues like storing, searching, sorting, retrieving, securing, analyzing and visualizing are of immense importance. Association rule mining helps to analyze the customer behavior in the market thereby excelling business intelligence. In this paper we propose a novel FIN algorithm with map-reduce concept to mine frequent itemset in big data which helps in increase the performance by parallel processing. The map-reducer function helps in performing the parallel execution on identifying the frequent itemset by using FIN algorithm. The performance of FIN is faster when compared with traditional a
Keywords FIN, Parallelization,Frequen i
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Uploader's ID 31
Submission Time 2016-07-04 09:17:52
Paper Review Status 5