ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization

ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization

Association rule mining (ARM) aims to find out association rules that satisfy predefined minimum support and confidence from a given database. However, in many cases ARM generates extremely large number of association rules, which are impossible for end users to comprehend or validate, thereby limit...

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Bibliographic Details
Main Authors: Baik, S.W (Author), Chatterjee, J.M (Author), Chiclana, F. (Author), Khari, M. (Author), Kumar, R. (Author), Mittal, M. (Author), Son, L.H (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2018
Subjects:
Animal migration
Animal migration optimization (AMO)
Animals
Apriori algorithm
Apriori algorithms
ARM processors
Association rule generations
Association rule minings (ARM)
Association rules
Association rules mining
Computational time
Data mining
Learning algorithms
Mining algorithms
Particle swarm optimization (PSO)
Rule mining algorithms
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