MINING ASSOCIATION RULES FOR EDUCATIONAL DATA
Abstract & Details
Research Area
Computer Science
Keywords
Association rule
Data mining
Apriori algorithm
educational datamining
Abstract
Educational data mining is a fast developing field of computer science and technology, which are helpful to enable end users for decision making process. One of the most important data mining applications is that of mining association rules. With the widespread use of medical information systems that include databases which consist of students records, course grade and name of subjects. The purpose of this paper is to develop a educational management system that can provide the possible decision and prediction information for students without the aids of knowledge expert. Finding frequent patterns plays an essential role in mining associations, correlations and many other interesting relationships among data. In this paper we analyzed the frequent pattern in education courses learning behaviour and discover the rules for association of these by using Apriori Algorithm.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | U Yin Moe Win | Lecturer,University of Computer Studies, Kalay |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Win, U Yin Moe (2019). MINING ASSOCIATION RULES FOR EDUCATIONAL DATA. International Journal of Advance Research and Innovative Ideas In Education, 5(4), 1421-1427.
MLA Style
Win, U Yin Moe. "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 4, 2019, pp. 1421-1427.
IEEE Style
U Yin Moe Win, "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 4, pp. 1421-1427, 2019.
Vancouver Style
Win U Yin Moe. MINING ASSOCIATION RULES FOR EDUCATIONAL DATA. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(4):1421-1427.
Harvard Style
Win, U Yin Moe (2019) 'MINING ASSOCIATION RULES FOR EDUCATIONAL DATA', International Journal of Advance Research and Innovative Ideas In Education, 5(4), pp. 1421-1427.
Chicago Style
Win, U Yin Moe. "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA." International Journal of Advance Research and Innovative Ideas In Education 5, no. 4 (2019): 1421-1427.
Turabian Style
Win, U Yin Moe. "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA." International Journal of Advance Research and Innovative Ideas In Education 5, no. 4 (2019): 1421-1427.
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