Status已發表Published
Affiliated with RCfalse
Kestrel-Based Search Algorithm for Association Rule Mining and Classification of Frequently Changed Items
Israel Edem Agbehadji1; Simon Fong2; Richard Millham1
2017-10-26
Conference Name2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)
Source PublicationProceedings - 2016 8th International Conference on Computational Intelligence and Communication Networks, CICN 2016
Pages356-360
Conference Date23-25 Dec. 2016
Conference PlaceTehri, India
PublisherIEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
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.

KeywordKestrel-based Search Algorithm Association Rule Mining Classification Frequently Changed Items Big Data Environment
DOI10.1109/CICN.2016.76
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Telecommunications
WOS IDWOS:000644329300064
Fulltext Access
Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.ICT and Society Research Group Department of Information Technology Durban University of Technology, Durban, South Africa
2.Department of Computer and Information Science University of Macau Taipa, Macau SAR
Recommended Citation
GB/T 7714
Israel Edem Agbehadji,Simon Fong,Richard Millham. Kestrel-Based Search Algorithm for Association Rule Mining and Classification of Frequently Changed Items[C]:IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA,2017:356-360.
APA Israel Edem Agbehadji,Simon Fong,&Richard Millham.(2017).Kestrel-Based Search Algorithm for Association Rule Mining and Classification of Frequently Changed Items.Proceedings - 2016 8th International Conference on Computational Intelligence and Communication Networks, CICN 2016,356-360.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Israel Edem Agbehadji]'s Articles
[Simon Fong]'s Articles
[Richard Millham]'s Articles
Baidu academic
Similar articles in Baidu academic
[Israel Edem Agbehadji]'s Articles
[Simon Fong]'s Articles
[Richard Millham]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Israel Edem Agbehadji]'s Articles
[Simon Fong]'s Articles
[Richard Millham]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.