EM&AA: An Algorithm for Predicting the Course Selection by Student in e-Learning Using Data Mining Techniques

Journal of The Institution of Engineers (India): Series B - Tập 95 Số 1 - Trang 43-54 - 2014
Sunita B. Aher1
1Walchand Institute of Technology

Tóm tắt

Từ khóa


Tài liệu tham khảo

J.-H. Chang, et.al., A cloud-based intelligent TV program recommendation system, Computers and Electrical Engineering, 10.1016/j.compeleceng.2013.04.025 , 2013

J.P. Lucas et al., A hybrid recommendation approach for a tourism system. Expert System with Applications 40, 3532–3550 (2013)

S.M. Choi et al., A movie recommendation algorithm based on genre correlations. Expert System with Applications 39, 8079–8085 (2012)

B. Fang et al., A novel mobile recommender system for indoor shopping. Expert System with Applications 39, 11992–12000 (2012)

T.H. Dao et al., A novel recommendation model of location-based advertising: Context-Aware collaborative filtering using GA approach. Expert System with Applications 39, 3731–3739 (2012)

P. Paranjape-Voditel, U. Deshpande, A stock market portfolio recommender system based on association rule mining. Applied Soft Computing 13, 1055–1063 (2013)

K. Christidis, G. Mentzas, A topic-based recommender system for electronic marketplace platforms. Expert System with Applications 40, 4370 (2013)

I.A. Christensen, S. Schiaffino, Entertainment recommender systems for group of users. Expert System with Applications 38, 14127–14135 (2011)

N. Thai-Nghe et al., Recommender system for predicting student performance. The First Workshop on Recommender Systems for Technology Enhanced Learning, Procedia Computer Science 1, 2811–2819 (2010)

A. Kaklauskas et al., Recommender system to analyze student’s academic performance. Expert Systems with Applications 40, 6150–6165 (2013)

H.L. Yang, C.S. Wang, Recommender system for software project planning one. Expert Systems with Applications 36, 8938–8945 (2009)

A.R. Anaya et al., Recommender system in collaborative learning environment. Expert Systems with Applications 40, 7193–7202 (2013)

A. Kaklauskas et al., Recommender system to research students’ study efficiency, The World Conference on Design, Arts and Education (DAE-2012), May 1-3 2012, Antalya, Turkey. Procedia- Social and Behaviour Science 51, 980–984 (2012)

M. Xenos, Prediction and assessment of student behaviour in open and distance education in computers using Bayesian networks. Computers and Education 43, 345–359 (2004)

S.B. Aher, L.M.R.J. Lobo, A Framework for Recommendation of courses in E-learning System, International Journal of Computer Applications (IJCA) 35(4), 21–28, published by Foundation of Computer Science, New York, USA, Volume No. 35, pp. 21–28

C.E. Hart, et.al., A comparison of clustering algorithm for use in large scale gene expression analysis using synthetic microarray data, http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/15995/1/00-1836.pdf , July, 2013

M. Usama, et.al., Initialization of iterative refinement clustering algorithms, Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD98), AAAI Press, Menlo Park, CA, 194–198, 1998

M. Meil, D. Heckerman, An experimental comparison of several clustering and initialization methods, accessed from http://research.microsoft.com/en-us/um/people/heckerman/mh98uai.pdf , July, 2013

S.B. Aher, L.M.R.J. Lobo, A comparative study of association rule algorithms for course recommender system in e-learning. International Journal of Computer Applications, Foundation of Computer Science, New York, USA 39(1), 48–52 (2012), published by Foundation of Computer Science, New York, USA, pp. 48–52

Y.S. Koh, R. Pears, Rare association rule mining via transaction clustering, Seventh Australasian Data Mining Conference, Glenelg, Australia, 2008

A. Nanopoulos, et.al., Mining association rules in very large clustered domains, Information Systems, 32, 649–669, 2007

H.H. Malik, J.R. Kender, Clustering web images using association rules, Interestingness Measures, and Hypergraph Partitions, ICWE’06, Palo Alto, California, USA, ACM 1-59593-352-2/06/0007, 2006

F. Castro, et.al. Applying data mining techniques to e-learning problems, Studies in Computational Intelligence, 62, Springer, pp. 183–221, 2007

G.K. Gupta, et al., Distance based Clustering of Association Rules, http://www.lans.ece.utexas.edu/~strehl/download/gupta-annie99.pdf , February 2012

B. Lent, et.al., Clustering association rules — data engineering, Proceedings of the Thirteenth International Conference on ISBN: 0-8186-7807-0, 1997

K. Verbert, et.al., Context-aware recommender systems for learning: a survey and future challenges, IEEE Transactions on Learning Technologies, 5(4), 2012

E. García et al., A collaborative educational association rule mining tool. The Internet and Higher Education, Web mining and higher education: Introduction to the special issue 14(2), 77–88 (March 2011)

Md.K. Khribi, et.al., Automatic recommendations for e-learning personalization based on web usage mining techniques and information retrieval, Educational Technology and Society, 12 (4), 30–42, 2009

Z. Itmaz, M. Megias, Using recommendation system course management system to recommend learning objects. International Arab Journal of Information Technology 5(3), 234–240 (2008)

S.B. Aher, L.M.R.J. Lobo, Combination of machine learning algorithms for recommendation of courses in e-learning system based on historical data, Knowledge-based Systems, doi: http://dx.doi.org/10.1016/j.knosys.2013.04.015 , 2013

C. Carmona, et.al., Discovering student preferences in e-learning, Proceedings of the International Workshop on Applying Data Mining in e-Learning, 33–42, 2007

O.R. Za¨ıane, Building a recommender agent for e-learning systems, Proceedings of the International Conference in Education, Auckland, New Zealand, 55–59, 2002

C. Romero et al., Data mining in course management systems: MOODLE case study and tutorial. Computers and Education 51, 368–384 (2007)

S.B. Aher, L.M.R.J. Lobo, Data mining in educational system using Weka, International Journal of Computer Application (IJCA), Proceedings on International Conference on Emerging Technology Trends (ICETT), Foundation of Computer Science, New York, USA, 3, 20–25, 2011

S.B. Aher, L.M.R.J. Lobo, Data preparation strategy in e-learning system using association rule algorithm. International Journal of Computer Applications, Foundation of Computer Science, New York, USA 41(3), 35–40 (2012)