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Research Article Open Access

Fuzzy Association Rule Mining

A. Lekha1, C. V. Srikrishna1 and Viji Vinod1
  • 1 , India

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.

Journal of Computer Science
Volume 11 No. 1, 2015, 71-74

DOI: https://doi.org/10.3844/jcssp.2015.71.74

Submitted On: 12 April 2014 Published On: 22 September 2014

How to Cite: Lekha, A., Srikrishna, C. V. & Vinod, V. (2015). Fuzzy Association Rule Mining. Journal of Computer Science, 11(1), 71-74. https://doi.org/10.3844/jcssp.2015.71.74

Open AccessCopyright: © 2015 A. Lekha, C. V. Srikrishna and Viji Vinod. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Association Rule Mining
  • Breast Cancer
  • Fuzzy Logic