Optimization and Improvement of Association Rule Mining using Genetic Algorithm and Fuzzy Logic

6 Pages Posted: 14 Jun 2019

See all articles by Archana Gupta

Archana Gupta

University of Mumbai - Department of Computer Engineering

Sanjeev Jain

Shri Mata Vaishno Devi University (SMVDU-India)

Akhilesh Tiwari

Madhav Institute of Technology and Science

Date Written: March 23, 2019

Abstract

In Association rule mining, association rules grows exponentially with the size of the frequent itemset. With so many association rules one is interested in the optimized rules to make decisions. With huge attribute’s domain, the rules generated in the association rule mining are also huge. In this paper, the main focus is on how to optimize the association rules using Genetic Algorithm and How to improve the working of Association Rule Mining using Fuzzy Logic. With explosion of data, optimization of the results is as important as producing the results. Genetic Algorithm perform global search to find attribute interaction than the greedy rule induction algorithm often used in Data Mining. To show the use of fuzzy logic and Genetic Algorithm in Association Rule Mining, a system to predict the chance of having heart disease is considered in this paper.

Suggested Citation

Gupta, Archana and Jain, Sanjeev and Tiwari, Akhilesh, Optimization and Improvement of Association Rule Mining using Genetic Algorithm and Fuzzy Logic (March 23, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3358761 or http://dx.doi.org/10.2139/ssrn.3358761

Archana Gupta (Contact Author)

University of Mumbai - Department of Computer Engineering ( email )

India

Sanjeev Jain

Shri Mata Vaishno Devi University (SMVDU-India) ( email )

Shri Mata Vaishno Devi University Campus
Sub-Post Office
Katra, Jammu and Kashmir 182320
India

Akhilesh Tiwari

Madhav Institute of Technology and Science ( email )

Gwalior
Madhya Pradesh-474005
India

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