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Title: :  MINING ASSOCIATION RULES FOR EDUCATIONAL DATA
PaperId: :  10757
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 4 2019
DUI:    16.0415/IJARIIE-10757
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
U Yin Moe Win Lecturer,University of Computer Studies, Kalay

Abstract

Computer Science
Association rule, Data mining, Apriori algorithm, educational datamining
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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IJARIIE U Yin Moe Win . "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 4 2019 Page 1421-1427
MLA U Yin Moe Win . "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA." International Journal Of Advance Research And Innovative Ideas In Education 5.4(2019) : 1421-1427.
APA U Yin Moe Win . (2019). MINING ASSOCIATION RULES FOR EDUCATIONAL DATA. International Journal Of Advance Research And Innovative Ideas In Education, 5(4), 1421-1427.
Chicago U Yin Moe Win . "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 4 (2019) : 1421-1427.
Oxford U Yin Moe Win . 'MINING ASSOCIATION RULES FOR EDUCATIONAL DATA', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, 2019, p. 1421-1427. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/MINING_ASSOCIATION_RULES_FOR__EDUCATIONAL_DATA_ijariie10757.pdf (Accessed : ).
Harvard U Yin Moe Win . (2019) 'MINING ASSOCIATION RULES FOR EDUCATIONAL DATA', International Journal Of Advance Research And Innovative Ideas In Education, 5(4), pp. 1421-1427IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/MINING_ASSOCIATION_RULES_FOR__EDUCATIONAL_DATA_ijariie10757.pdf (Accessed : )
IEEE 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, Jul-Aug 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/MINING_ASSOCIATION_RULES_FOR__EDUCATIONAL_DATA_ijariie10757.pdf [Accessed : ].
Turabian U Yin Moe Win . "MINING ASSOCIATION RULES FOR EDUCATIONAL DATA." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 4 ().
Vancouver U Yin Moe Win . MINING ASSOCIATION RULES FOR EDUCATIONAL DATA. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(4) : 1421-1427. Available from: https://ijariie.com/AdminUploadPdf/MINING_ASSOCIATION_RULES_FOR__EDUCATIONAL_DATA_ijariie10757.pdf
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