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Metaheuristics Guided by the Apriori Principle for Association Rule Mining: Case Study - CRO Metaheuristic

Metaheuristics Guided by the Apriori Principle for Association Rule Mining: Case Study - CRO Metaheuristic

Abir Derouiche, Abdesslem Layeb, Zineb Habbas
Copyright: © 2020 |Volume: 10 |Issue: 3 |Pages: 24
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781799806516|DOI: 10.4018/IJOCI.2020070102
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MLA

Derouiche, Abir, et al. "Metaheuristics Guided by the Apriori Principle for Association Rule Mining: Case Study - CRO Metaheuristic." IJOCI vol.10, no.3 2020: pp.14-37. http://doi.org/10.4018/IJOCI.2020070102

APA

Derouiche, A., Layeb, A., & Habbas, Z. (2020). Metaheuristics Guided by the Apriori Principle for Association Rule Mining: Case Study - CRO Metaheuristic. International Journal of Organizational and Collective Intelligence (IJOCI), 10(3), 14-37. http://doi.org/10.4018/IJOCI.2020070102

Chicago

Derouiche, Abir, Abdesslem Layeb, and Zineb Habbas. "Metaheuristics Guided by the Apriori Principle for Association Rule Mining: Case Study - CRO Metaheuristic," International Journal of Organizational and Collective Intelligence (IJOCI) 10, no.3: 14-37. http://doi.org/10.4018/IJOCI.2020070102

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Abstract

Association rule mining (ARM), one of the most known tasks in data mining, is considered as an optimization problem. The ARM problem can be solved either by exact methods or by metaheuristics. Exact methods such as Apriori algorithm are very efficient to deal with small and medium datasets. However, when dealing with large size datasets, these methods suffer from time complexity. Metaheuristics are proven faster but most of them suffer from accuracy. To deal with these two challenging issues, this work investigates to enhance metaheuristics and proposes hybrid approaches, which combine metaheuristics and the Apriori principle to intelligently explore the association rules space. To validate the proposed approaches the chemical reaction optimization metaheuristic (CRO) was used. Intensive experiments have been carried out and the first results are very promising in terms of accuracy and processing time.

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