Abdul Aziz, Azwa and Hassan, Hasni and Wan Idris, Wan Mohd Rizhan and Jusoh, Julaily Aida (2013) Implementing Aproiri Algorithm for Predicting Result Analysis. Journal on Computing, 2 (4). pp. 87-91.
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Abstract
University or Higher Learning Institution is a platform to train students in specific domain area that will become an asset for a country. One of the critical issues in University is to avoid dropout students. Educational Data Mining (EDM) is an emergent discipline in developing methods to explore the unique types of data from the educational context. One of the techniques applied in EDM is an Association Rules (AR) which is to find a pattern of one element influencing other element. In this paper, AR technique has been utilized to predict students’ results based on a group of the previous students results. Clustering method has been used to classify the specific subject category. Finally, a system known as Result Prediction System (REPS) has been developed to perform automatically the AR analysis on the academic data using PHP and MYSQL databases.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Apriori Algorithm, Association Rules, Educational Data Mining, Educational Intelligence, Result Predicting System (REPS) |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZA Information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
| Divisions: | Faculty of Informatics & Computing |
| Depositing User: | Syahmi Manaf |
| Date Deposited: | 13 Sep 2022 05:07 |
| Last Modified: | 13 Sep 2022 05:07 |
| URI: | http://eprints.unisza.edu.my/id/eprint/3814 |
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