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
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

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

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