Research Article

A Comparative Study of Association Rule Algorithms for Course Recommender System in E-learning

by  Sunita B Aher, Lobo L.M.R.J
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Issue 1
Published: February 2012
Authors: Sunita B Aher, Lobo L.M.R.J
10.5120/4788-7021
PDF

Sunita B Aher, Lobo L.M.R.J . A Comparative Study of Association Rule Algorithms for Course Recommender System in E-learning. International Journal of Computer Applications. 39, 1 (February 2012), 48-52. DOI=10.5120/4788-7021

                        @article{ 10.5120/4788-7021,
                        author  = { Sunita B Aher,Lobo L.M.R.J },
                        title   = { A Comparative Study of Association Rule Algorithms for Course Recommender System in E-learning },
                        journal = { International Journal of Computer Applications },
                        year    = { 2012 },
                        volume  = { 39 },
                        number  = { 1 },
                        pages   = { 48-52 },
                        doi     = { 10.5120/4788-7021 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2012
                        %A Sunita B Aher
                        %A Lobo L.M.R.J
                        %T A Comparative Study of Association Rule Algorithms for Course Recommender System in E-learning%T 
                        %J International Journal of Computer Applications
                        %V 39
                        %N 1
                        %P 48-52
                        %R 10.5120/4788-7021
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

A course Recommender System plays an important role in predicting the course selection by student. Here we consider the real data from Moodle course of our college & we try to obtain the result using Weka. Association rule algorithms are used to find out the best combination of courses in E-Learning. Here in this paper we consider four association rule algorithms: Apriori Association Rule, PredictiveApriori Association Rule, Tertius Association Rule & Filtered Associator. We compare the result of these four algorithms & present the result. According to our simulation result, we find that Apriori association algorithms perform better than the Predictive Apriori Association Rule, Tertius Association Rule, & Filtered Associator in predicting the course selection based on student choice.

References
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  • http://www.cs.sunysb.edu/~cse634/lecture_notes/07apriori.pdf accessed on date 02-02-2012
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Weka Apriori Association Rule Predictive Apriori Association Rule & Tertius Association Rule Filtered Associator.

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