Comparative Study of Apriori Algorithm and Frequent Pattern Growth Algorithm
Abstract
Frequent Pattern Matching (FPM) is a very important part of Data Mining. The main aim of Frequent Data Mining is to look for frequently occurring subsets in sequence of sets given. It is defined using various frameworks; the most commonly used being the support-based framework in which we look for items above the defined threshold value. FPM is further used in various data mining techniques as a sub problem such as classification, clustering, market analysis etc.
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PDFDOI: http://dx.doi.org/10.52155/ijpsat.v2.2.38
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Copyright (c) 2016 Prabhjit Singh Thind, Vinayak Gupta, Aarushi Arya, M. Yamuna
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