Research Article
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 39 - Issue 7 |
| Published: February 2012 |
| Authors: Sunita B. Aher, Lobo L.M.R.J. |
10.5120/4830-7087
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Sunita B. Aher, Lobo L.M.R.J. . Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning. International Journal of Computer Applications. 39, 7 (February 2012), 8-15. DOI=10.5120/4830-7087
@article{ 10.5120/4830-7087,
author = { Sunita B. Aher,Lobo L.M.R.J. },
title = { Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 39 },
number = { 7 },
pages = { 8-15 },
doi = { 10.5120/4830-7087 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Sunita B. Aher
%A Lobo L.M.R.J.
%T Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning%T
%J International Journal of Computer Applications
%V 39
%N 7
%P 8-15
%R 10.5120/4830-7087
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Data mining also known as Knowledge Discovery in Database is the process of discovering new pattern from large data set. E-learning is the electronically learning & teaching process. Course Recommender System allows us to study the behavior of student regarding the courses. In Course Recommender System in E-learning, we collect the data regarding the student enrollments for a specific set of data i.e. the courses which the students like to learn. After collection of data, we apply three data mining techniques namely clustering, classification & association rule to find the best combination of courses. Here we compare the result of this combined approach with result obtained using only association rule & present how this combined approach is better than only the association rule algorithm.
References
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