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Reseach Article

Mining Association Rule in Classified Data for Course Recommender System in E-Learning

by Sunita B. Aher, Lobo L.M.R.J
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 7
Year of Publication: 2012
Authors: Sunita B. Aher, Lobo L.M.R.J
10.5120/4829-7086

Sunita B. Aher, Lobo L.M.R.J . Mining Association Rule in Classified Data for Course Recommender System in E-Learning. International Journal of Computer Applications. 39, 7 ( February 2012), 1-7. DOI=10.5120/4829-7086

@article{ 10.5120/4829-7086,
author = { Sunita B. Aher, Lobo L.M.R.J },
title = { Mining Association Rule in Classified Data for Course Recommender System in E-Learning },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 7 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number7/4829-7086/ },
doi = { 10.5120/4829-7086 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:47.384373+05:30
%A Sunita B. Aher
%A Lobo L.M.R.J
%T Mining Association Rule in Classified Data for Course Recommender System in E-Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 7
%P 1-7
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The ADTree (Alternating Decision Tree) is a supervised classification technique that combines decision trees with the predictive accuracy into a set of classification rules & association rule algorithms are used to show the relationship between data items. Here in this paper we combine these two algorithms & apply it to sample data obtained from Moodle courses of our college for the Course Recommender System which predicts the course selected by the students. First we consider the result using only the association rule then we consider this combined approach. Here we present the advantage of applying the combined approach to Course Recommender System as compare to the result of applying only the association rule algorithm. We found that combined approach works better than only the association rule mining. This combined approach also increases the strength of the rules.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ADTree Classification algorithm Apriori Association Rule algorithm Weka