UM
Kestrel-Based Search Algorithm for Association Rule Mining and Classification of Frequently Changed Items
Agbehadji I.E.2; Millham R.2; Fong S.1
2017-10-24
Source PublicationProceedings - 2016 8th International Conference on Computational Intelligence and Communication Networks, CICN 2016
Pages356-360
AbstractNature inspired approaches have been used in the design of computer solutions for real life problems. These computer solutions take the form of algorithms which characterize specific behaviour of animals or birds in their natural habitat. The two bio-inspired computational concepts in modern times includes evolutionary and swarm intelligence. A novel introduction to the bio-inspired computational concepts of swarm behaviour is the study of characteristics of kestrel birds. The study presents, as a concept paper, a meta-heuristic algorithm called kestrel-based search algorithm (KSA) for association rule mining and classification of frequently changed items on big data environment. This algorithm aims to find best possible rules and patterns in dataset using minimum support and minimum confidence.
KeywordAssociation rule mining big data environment classification frequently changed items kestrel-based search algorithm
DOI10.1109/CICN.2016.76
URLView the original
Language英語
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Universidade de Macau
2.Durban University of Technology
Recommended Citation
GB/T 7714
Agbehadji I.E.,Millham R.,Fong S.. Kestrel-Based Search Algorithm for Association Rule Mining and Classification of Frequently Changed Items[C],2017:356-360.
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