The week's pick
Reseach Article
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E-learning
| 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. |
10.5120/4830-7087
|
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
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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- Sunita B Aher and Lobo L.M.R.J.. Data Mining in Educational System using WEKA. IJCA Proceedings on International Conference on Emerging Technology Trends (ICETT) (3):20-25, 2011. Published by Foundation of Computer Science, New York, USA (ISBN: 978-93-80864-71-13)
- Sunita B Aher and Lobo L.M.R.J.: “Preprocessing Technique for Association Rule Based Course Recommendation System in E-learning” selected in ICECT-12, proceeding published by IEEE
- “Data Mining Introductory and Advanced Topics” by Margaret H. Dunham
- Sunita B Aher and Lobo L.M.R.J. Article: A Framework for Recommendation of courses in E-learning System. International Journal of Computer Applications 35(4):21-28, December 2011. Published by Foundation of Computer Science, New York, USA ISSN 0975 – 8887
- Alternating decision tree, available at: http://en.wikipedia.org/wiki/alternating_decision_tree Accessed on 13-02-2012
- Sunita B Aher and Lobo L.M.R.J.:” Mining Association Rule in Classified Data for Course Recommender System in E-Learning” Selected in International Journal of Computer Applications ((IJCA)) Published by Foundation of Computer Science, New York, USA ISSN 0975 – 8887
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