Clustering approach to examination scheduling

au.link.externalLink [Full Text] (https://ieeexplore.ieee.org/document/5579808/)
dc.contributor.author To, Tang Van
dc.contributor.author Win, Soe San
dc.date.accessioned 2016-06-14T06:12:03Z
dc.date.available 2016-06-14T06:12:03Z
dc.date.issued 2010-05
dc.description.abstract The difficulty in examination scheduling is to draw an examination timetable by taking a number of different constraints into account. This paper attempts to optimize two major constraints-to minimize the examination time conflicts and the number of consecutive examinations for a student in a day. Clustering method is applied by analyzing exam enrollments and then groups students into clusters so that students within a cluster are having more similar subject combination to each others than those in another clusters. The purpose of clustering is to effectively arrange the order of exams to be allocated into a suitable exam period. Since exams are scheduled by clusters, it solves the exam conflicts for the students within the same cluster whose are closely related to each other. en_US
dc.format.extent 5 pages en_US
dc.format.mimetype application/pdf en_US
dc.identifier.citation Proceeding of the ICECT 2010, Kuala Lumper. Malaysia, (May 7-10, 2010) en_US
dc.identifier.uri https://repository.au.edu/handle/6623004553/17933
dc.language.iso eng en_US
dc.subject Examination scheduling en_US
dc.subject Data mining en_US
dc.subject Clustering en_US
dc.subject Heuristic en_US
dc.title Clustering approach to examination scheduling en_US
dc.type Text en_US
mods.genre Proceeding Paper en_US
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