Grade prediction improved by regular and maximal association rules

Abstract

In this paper we propose a method of predicting student scholar performance using the power of regular and maximal association rules. Due to the large number of generated rules, traditional data mining algorithms can become difficult and inappropriate to educational systems. Thus, we use some methods to overcome this problem, discovering rules useful in educational process. These methods are applied to the e-learning system Moodle, for “Database” course.

Authors and Affiliations

Anca Loredana Udristoiu *| University of Craiova, Department of Computers and Information Technology blvd. Decebal, n. 107,Craiova, Romania, Stefan Udristoiu| University of Craiova, Department of Computers and Information Technology blvd. Decebal, n. 107,Craiova, Romania

Keywords

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  • EP ID EP770
  • DOI 10.18201/ijisae.17210
  • Views 478
  • Downloads 44

How To Cite

Anca Loredana Udristoiu *, Stefan Udristoiu (2015). Grade prediction improved by regular and maximal association rules. International Journal of Intelligent Systems and Applications in Engineering, 3(2), 57-61. https://europub.co.uk/articles/-A-770