DocumentCode :
2234117
Title :
Clustering approach to examination scheduling
Author :
To, Tang Van ; Win, Soe San
Author_Institution :
Fac. of Sci. & Technol., Assumption Univ., Bangkok, Thailand
Volume :
5
fYear :
2010
fDate :
20-22 Aug. 2010
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.
Keywords :
computer aided instruction; data mining; pattern clustering; scheduling; clustering approach; consecutive examination constraint; examination scheduling; examination time conflict constraint; examination timetable; Clustering; Data Mining; Examination Scheduling; Heuristic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579808
Filename :
5579808
Link To Document :
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