Performance Analysis of FPMining Algorithm Using Apriori on HealthCare Data

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Performance Analysis of FPMining Algorithm Using Apriori on HealthCare Data
Author(s):
Dr. M. Balamurugan, A. Nancy
Keywords:
Apriori, Association rule, Frequent Patterns, Support, Memory Based
Abstract
frequent pattern mining is an essential data mining task, with a goal of discovering knowledge in the form of repeated patterns. Many efficient pattern mining algorithms have been discovered to enhance the performance of Apriori Algorithm, The purpose of these algorithms to determining the frequent pattern. The main issue for any algorithm is to reduce the Execution time. In this paper we compare the frequent pattern mining Algorithm.
Article Details
Unique Paper ID: 142600 Publication Volume & Issue: Volume 2, Issue 4 Page(s): 164 - 166
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