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