Extraction of Association Rules Using Chemical Reaction Optimization
Sudhir Kumar Mohapatra1, Bimal Prasad Kar2, Befkadu Belete3,Tarini Prasad Panigrahy4

1Sudhir Kumar Mohapatra, Department of CSE, IT & SE, AASTU, Addis Ababa, Ethiopia.
2Bimal Prasad Kar, Department of CSE, GITA, Bhubaneswar (Odisha), India.
3Befkadu Belete, Department of CSE, IT & SE, AASTU, Addis Ababa, Ethiopia.
4Tarini Prasad Panigrahy, Department of CSE, GITA, Bhubaneswar, (Odisha), India.
Manuscript received on 07 February 2019 | Revised Manuscript received on 20 February 2019 | Manuscript Published on 04 March 2019 | PP: 345-348 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2061017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper explores the applicability of chemical reaction optimization in association rule mining. We apply CRO on transactional database. Our algorithm generates N number of rules from the given database. The proposed algorithm is tested on real-life data from friendship mall, Addis Ababa, Ethiopia. From the results, we find it to be the best alternative to the existing popular algorithm like apriori algorithm and the FP-growth algorithm.
Keywords: CRO, Association Rule Mining, Apriori, FP-Growth, Chemical Reaction Optimizations.
Scope of the Article: Discrete Optimization