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Kestrel-based search algorithm for association rule mining and classification of frequently changed items

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dc.contributor.authorAgbehadji, Israel Edem
dc.contributor.authorFong, Simon
dc.contributor.authorMillham, Richard
dc.date.accessioned2018-05-29T07:32:51Z
dc.date.available2018-05-29T07:32:51Z
dc.date.issued2016
dc.description.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.en_US
dc.description.availabilityCopyright: 2016. IEEE. Due to copyright restrictions, only the abstract is available. For access to the full text item, please consult the publisher's website. The definitive version of the work is published in 2016 8th International Conference on Computational Intelligence and Communication Networks. IEEE, 356-360. DOI 10.1109/CICN.2016.76en_US
dc.dut-rims.pubnumDUT-005512en_US
dc.format.extent5 pen_US
dc.identifier.citationAgbehadji, I.E. et al. 2016. Kestrel-based search algorithm for association rule mining and classification of frequently changed items. 2016 8th International Conference on Computational Intelligence and Communication Networks. IEEE, 356-360. DOI 10.1109/CICN.2016.76en_US
dc.identifier.isbn2472-7555
dc.identifier.urihttp://hdl.handle.net/10321/3001
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.publisher.urihttps://ieeexplore.ieee.org/document/8082666/en_US
dc.subjectKestrel-based search algorithmen_US
dc.subjectAssociation rule miningen_US
dc.subjectClassificationen_US
dc.subjectFrequently changed itemsen_US
dc.subjectBig data environmenten_US
dc.titleKestrel-based search algorithm for association rule mining and classification of frequently changed itemsen_US
dc.typePresentationen_US

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