FRI Miner: A Tool for Frequent Regular Itemsets Mining
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Abstract
Frequent itemsets plays a crucial role in many data mining tasks that aimed to find interesting patterns. Frequent Pattern mining is used for find frequent itemsets among items in a given data set and the exact frequency of each itemset. An objective of frequent pattern mining is to develop a systematic method for the given data set and find frequent items. Obtained frequent items can be used for enhancing the business return of interest. The Synoptic/Concise representation of frequent Itemsets sacrifice/presents readability and direct interpretability by a data analyst of the concise patterns extracted/picked up. This paper presents, FRI Miner, a tool for Frequent Regular Itemsets Mining, designed to evaluate RegularMine and FPGrowth, and experimented on real time datasets.
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Keywords: Frequent Regular Itemsets, Association rules, FPGrowth, Data mining
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