Fuzzy Association Rule Mining

A Lekha; C. V. Srikrishna; Viji Vinod

doi:10.3844/jcssp.2015.71.74

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JOURNAL ARTICLE

Fuzzy Association Rule Mining

A Lekha C. V. Srikrishna Viji Vinod

Year: 2015 Journal: Journal of Computer Science Vol: 11 (1)Pages: 71-74 Publisher: Science Publications

DOI: 10.3844/jcssp.2015.71.74

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Abstract

The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.

Keywords:

Association rule learning Computer science Fuzzy logic Data mining Artificial intelligence Fuzzy rule Machine learning Fuzzy set

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0.79

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0.83

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Topics

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Fuzzy Association Rule Mining

Abstract

Metrics

Citation History

Topics

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