• 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