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Clustering using Mining Fuzzy Association Rules

Authors(1):

Dr. S. Maheswari
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Data mining play an important role in extracting an information or patterns from large database such as datawarehouse and XML repository. In this research we process a technique Clusters are used in fuzzy association rule. It was used to find all the rules that satisfy the minimum support and minimum confidence constraints. In this proposed work new patterns match technique to group association rules, based on the similar attributes, pattern matching clustering algorithm is used to cluster the rules. This research work is used to combine more number of rules with a conditional value. Based on the conditional value, the result will be declared whether the rules or cluster or not.

Dr. S. Maheswari

Association rules, Mining Fuzzy, clustering, Data sets

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2016-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
333-335 IJSRSET162175   Technoscience Academy

Cite This Article

Dr. S. Maheswari, "Clustering using Mining Fuzzy Association Rules ", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.333-335, January-Febuary-2016.
URL : http://ijsrset.com/IJSRSET162175.php

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