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Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

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1. Gabroveanu, M., Diaconescu, I. M., Extracting Semantic Annotations from Moodle Data, Proceedings of the 2nd East European Workshop on Rule-Based Applications (RuleApps 2008) at the 18th European Conference on Artificial Intelligence (ECAI 2008), pp. 1-5, Patras, Greece, (2008).Search in Google Scholar

2. Agrawal, R., Imielinski, T., Swami, A. N., Mining association rules between sets of items in large databases, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Buneman, P., Jajodia, S. eds., ACM Press, pp. 207-216, Washington, D.C., May 26-28, (1993).10.1145/170036.170072Search in Google Scholar

3. Tan, P.-N., Steinbach, M., Kumar, V., Introduction to Data Mining, Addison-Wesley, ISBN 0321321367, (2005).Search in Google Scholar

4. Agrawal, R., Srikant, R., Fast algorithms for mining association rules, Proceedings of the 20th International Conference Very Large Data Bases, (VLDB), Morgan Kaufmann, pp. 487-499, (1994).Search in Google Scholar

5. Park, J. S., Chen, M. S., Yu, P. S., An effective hash-based algorithm for mining association rules, Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, (SIGMOD '95), pp. 175-186, San Jose, Canada, (1995).10.1145/223784.223813Search in Google Scholar

6. Savasere, A., Omiecinski, E., Navathe, S. B., An efficient algorithm for mining association rules in large databases, Proceedings of 21th International Conference on Very Large Data Bases (VLDB’95), Dayal, U. Gray, P. M. D., Nishio, S. eds., Morgan Kaufmann, pp. 432-444, (1995).Search in Google Scholar

7. Brin, S., Motwani, R., Ullman, J. D., Tsur, S., Dynamic itemset counting and implication rules for market basket data, Proceedings ACM SIGMOD International Conference on Management of Data, ACM Press, pp. 255-264, (1997).10.1145/253262.253325Search in Google Scholar

8. Agrawal, R., Shafer, J. C., Parallel mining of association rules, IEEE Transactions on Knowledge And Data Engineering, vol. 8, pp. 962–969, (1996).10.1109/69.553164Search in Google Scholar

9. Cheung, D. W., Han, J., Ng, V. T., Fu, A. W., Fu, Y., A fast distributed algorithm for mining association rules, Proceedings of the 4th International Conference on Parallel and Distributed Information Systems (PDIS ’96), IEEE Computer Society Technical Committee on Data Engineering, and ACM SIGMOD, pp. 31–43, (1996).Search in Google Scholar

10. Li, L., Zhang, M., The strategy of mining association rule based on cloud computing, Proceedings of the International Conference on Business Computing and Global Informatization, (BCGIN ’11), IEEE Computer Society, pp. 475–478, Shanghai, (2011).10.1109/BCGIn.2011.125Search in Google Scholar

11. Lin, J., Dyer, C., Data-Intensive Text Processing with MapReduce, Morgan and Claypool Publishers, (2010).10.2200/S00274ED1V01Y201006HLT007Search in Google Scholar

12. Lin, M. Y., Lee, P. Y., Hsueh, S. C., Apriori-based frequent itemset mining algorithms on MapReduce, Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication (ICUIMC '12), ACM, pp. 76:1–76:8, New York, NY, USA (2012).Search in Google Scholar

13. Han, J., Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, (2005).Search in Google Scholar

14. Garcia, E., Romero, C., Ventura, S., Calders, T., Drawbacks and solutions of applying association rule mining in learning management systems, Proceedings of the International Workshop on Applying Data Mining in e-Learning (ADML’07), pp. 13-22, Crete, Greece, (2007).Search in Google Scholar

15. Predictive Model Markup Language (PMML) v.4.2.1 Specification, DMG, http://www.dmg.org/pmml-v4-2-1.html, (2014)Search in Google Scholar

16. Apache Jena, http://jena.apache.org/, (2015)Search in Google Scholar

17. Brickley, D., Guha, R.V., RDF Schema 1.1, W3C Recommendation February 2014, http://www.w3.org/TR/rdf-schema/, (2014).Search in Google Scholar

18. Cyganiak, R., Wood, D., Lanthaler, M., RDF 1.1 Concepts and Abstract Syntax, W3C Recommendation, 25 February 2014, http://www.w3.org/TR/rdf-concepts/, (2014).Search in Google Scholar