Grade prediction improved by regular and maximal association rules
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 2
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 435
- Downloads 44
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