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Pattern discovery using k-means algorithm

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dc.Conferencecode114719
dc.Conferencedate17 January 2014 through 19 January 2014
dc.Conferencename2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsSebha University Libya
dc.contributor.affiliationsUniversiti Utara Malaysia (UUM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorMohammed Ahmed A.en_US
dc.contributor.authorWan Ishak W.H.en_US
dc.contributor.authorMd Norwawi N.en_US
dc.contributor.authorAlkilany A.en_US
dc.date.accessioned2024-05-28T08:29:19Z
dc.date.available2024-05-28T08:29:19Z
dc.date.issued2014
dc.description.abstractStudent's placement in industry for the industrial training is difficult due to the large number of students and organizations involved. Further the matching process is complex due to the various criteria set by the organization and students. This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. The data use consists of Bachelor of Information Technology and Bachelor in Multimedia students of Universiti Utara Malaysia from the year 2004 till 2005. The experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by the university. � 2014 IEEE.
dc.description.natureFinalen_US
dc.identifier.ArtNo6916589
dc.identifier.doi10.1109/WCCAIS.2014.6916589
dc.identifier.isbn9781480000000
dc.identifier.scopus2-s2.0-84908680797
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84908680797&doi=10.1109%2fWCCAIS.2014.6916589&partnerID=40&md5=52162f5369f21322c82b7e2a89de0da4
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8898
dc.languageEnglish
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014
dc.sourceScopus
dc.subjectClusteringen_US
dc.subjectData Miningen_US
dc.subjectk-meansen_US
dc.subjectPattern discoveryen_US
dc.titlePattern discovery using k-means algorithm
dc.typeConference Paperen_US
dspace.entity.typePublication

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