Please use this identifier to cite or link to this item:
https://hdl.handle.net/10321/3001
DC Field | Value | Language |
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dc.contributor.author | Agbehadji, Israel Edem | - |
dc.contributor.author | Fong, Simon | - |
dc.contributor.author | Millham, Richard | - |
dc.date.accessioned | 2018-05-29T07:32:51Z | - |
dc.date.available | 2018-05-29T07:32:51Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Agbehadji, 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.2016.76 | en_US |
dc.identifier.isbn | 2472-7555 | - |
dc.identifier.uri | http://hdl.handle.net/10321/3001 | - |
dc.description.abstract | Nature 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.format.extent | 5 p | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Kestrel-based search algorithm | en_US |
dc.subject | Association rule mining | en_US |
dc.subject | Classification | en_US |
dc.subject | Frequently changed items | en_US |
dc.subject | Big data environment | en_US |
dc.title | Kestrel-based search algorithm for association rule mining and classification of frequently changed items | en_US |
dc.type | Presentation | en_US |
dc.publisher.uri | https://ieeexplore.ieee.org/document/8082666/ | en_US |
dc.dut-rims.pubnum | DUT-005512 | en_US |
dc.description.availability | Copyright: 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.2016.76 | en_US |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Presentation | - |
Appears in Collections: | Research Publications (Accounting and Informatics) |
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