eprintid: 4061
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/40/61
datestamp: 2023-11-09 15:52:20
lastmod: 2023-11-09 15:52:20
status_changed: 2023-11-09 15:48:14
type: article
metadata_visibility: show
creators_name: Rahim, N.F.A.
creators_name: Taib, S.M.
creators_name: Mahamad, S.
title: Courses enrollment pattern analysis
ispublished: pub
keywords: Apriori algorithms; Course structure; Educational environment; Enrollment analysis; Pattern analysis; Preparation process; Rules based; Timetable planner, Association rules; Innovation; Learning algorithms; Scheduling, Education
note: cited By 2; Conference of 7th International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, CISSE 2011 ; Conference Date: 3 December 2011 Through 12 December 2011; Conference Code:92772
abstract: Continuous research and works on the implementation of Apriori algorithm into educational environment proved that Association rule has evolved. This paper analyze enrollment pattern of final semester students from a university and discover interesting knowledge that may help the timetable committee in reducing clash conflict and for future decision making along the gradual process. The factor of clash conflict has been identified based on increasing number group of students whose did not follow the course structure guideline that has been designed for them. By producing prototype that adopts Apriori algorithm, it reveals the strong rules based on the extracted data. It is potential to apply into existing timetable preparation process to added new value in order to increase system performance while reduce number of class clashes. The rules or patterns produced by the prototype will then be compared with the existing course structure to evaluate the similarity and connection between courses. © 2013 Springer Science+Business Media.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866617440&doi=10.1007%2f978-1-4614-3535-8_24&partnerID=40&md5=fe22f89f434f06e2ccb54fac38755aef
id_number: 10.1007/978-1-4614-3535-8₂₄
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 152 LN
place_of_pub: Bridgeport, CT
pagerange: 283-292
refereed: TRUE
isbn: 9781461435341
issn: 18761100
citation:   Rahim, N.F.A. and Taib, S.M. and Mahamad, S.  (2013) Courses enrollment pattern analysis.  Lecture Notes in Electrical Engineering, 152 LN.  pp. 283-292.  ISSN 18761100