Clustering using Mining Fuzzy Association Rules

Authors(1) :-Dr. S. Maheswari

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.

Authors and Affiliations

Dr. S. Maheswari
System Programmer, Alagappa University, Karaikudi, Tamil Nadu, India

Association rules, Mining Fuzzy, clustering, Data sets

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2016
Date of Publication : 2016-02-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 333-335
Manuscript Number : IJSRSET162175
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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-February-2016.
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