Enhanced Apriori Algorithm model in course suggestion system

Pawan Bhandari; Chandana Withana; Abeer Alsadoon; Amr Elchouemi

doi:10.1109/IEMCON.2015.7344527

Enhanced Apriori Algorithm model in course suggestion system

Pawan Bhandari, Chandana Withana, Abeer Alsadoon, Amr Elchouemi

Research output: Book chapter/Published conference paper › Conference paper › peer-review

4 Citations (Scopus)

Abstract

Association Rule Mining (ARM) includes one of the most popular algorithms called Apriori Algorithm (AA) in it. AA has some limitations and areas for improvement related to the execution time consumption. The extended AA has some improvements based on the existing algorithm AA. The main findings indicate that not much has been done in an educational data mining considering the volume of data that is observed. Therefore, it is intended to evaluate to what extent an ARM can be utilized in an educational data mining context. Specifically, this paper develops an extended AA mining algorithm and applies it to the higher education system, focusing on the student's course planning system. This project focuses on introducing AA and ARM, implementing the enhanced features of the AA in educational data, develop the course recommender model. Finally, it evaluates the enhanced algorithm compared to the existing AA to help build a course suggestion system for students.

Original language	English
Title of host publication	2015 International Conference and Workshop on Computing and Communication, IEMCON 2015
Editors	Satyajit Chakrabarti, Himadri Nath Saha
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	5
ISBN (Electronic)	9781479969081
DOIs	https://doi.org/10.1109/IEMCON.2015.7344527
Publication status	Published - 02 Dec 2015
Event	6th International Conference and Workshop on Computing and Communication, IEMCON 2015 - University of British Columbia, Vancouver, Canada Duration: 15 Oct 2015 → 17 Oct 2015 https://web.archive.org/web/20151103163401/http://www.iemcon.org/index.php

Publication series

Name	2015 International Conference and Workshop on Computing and Communication, IEMCON 2015

Conference

Conference	6th International Conference and Workshop on Computing and Communication, IEMCON 2015
Country/Territory	Canada
City	Vancouver
Period	15/10/15 → 17/10/15
Internet address	https://web.archive.org/web/20151103163401/http://www.iemcon.org/index.php

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10.1109/IEMCON.2015.7344527

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Bhandari, P., Withana, C., Alsadoon, A., & Elchouemi, A. (2015). Enhanced Apriori Algorithm model in course suggestion system. In S. Chakrabarti, & H. N. Saha (Eds.), 2015 International Conference and Workshop on Computing and Communication, IEMCON 2015 Article 7344527 (2015 International Conference and Workshop on Computing and Communication, IEMCON 2015). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IEMCON.2015.7344527

Bhandari, Pawan ; Withana, Chandana ; Alsadoon, Abeer et al. / Enhanced Apriori Algorithm model in course suggestion system. 2015 International Conference and Workshop on Computing and Communication, IEMCON 2015. editor / Satyajit Chakrabarti ; Himadri Nath Saha. IEEE, Institute of Electrical and Electronics Engineers, 2015. (2015 International Conference and Workshop on Computing and Communication, IEMCON 2015).

@inproceedings{39b84c75d20f469d9c5472de91315bb9,

title = "Enhanced Apriori Algorithm model in course suggestion system",

abstract = "Association Rule Mining (ARM) includes one of the most popular algorithms called Apriori Algorithm (AA) in it. AA has some limitations and areas for improvement related to the execution time consumption. The extended AA has some improvements based on the existing algorithm AA. The main findings indicate that not much has been done in an educational data mining considering the volume of data that is observed. Therefore, it is intended to evaluate to what extent an ARM can be utilized in an educational data mining context. Specifically, this paper develops an extended AA mining algorithm and applies it to the higher education system, focusing on the student's course planning system. This project focuses on introducing AA and ARM, implementing the enhanced features of the AA in educational data, develop the course recommender model. Finally, it evaluates the enhanced algorithm compared to the existing AA to help build a course suggestion system for students.",

keywords = "Apriori algorithm, Association rule mining, Course Suggestion System",

author = "Pawan Bhandari and Chandana Withana and Abeer Alsadoon and Amr Elchouemi",

year = "2015",

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doi = "10.1109/IEMCON.2015.7344527",

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series = "2015 International Conference and Workshop on Computing and Communication, IEMCON 2015",

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editor = "Satyajit Chakrabarti and Saha, {Himadri Nath}",

booktitle = "2015 International Conference and Workshop on Computing and Communication, IEMCON 2015",

address = "United States",

note = "6th International Conference and Workshop on Computing and Communication, IEMCON 2015 ; Conference date: 15-10-2015 Through 17-10-2015",

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Bhandari, P, Withana, C, Alsadoon, A & Elchouemi, A 2015, Enhanced Apriori Algorithm model in course suggestion system. in S Chakrabarti & HN Saha (eds), 2015 International Conference and Workshop on Computing and Communication, IEMCON 2015., 7344527, 2015 International Conference and Workshop on Computing and Communication, IEMCON 2015, IEEE, Institute of Electrical and Electronics Engineers, 6th International Conference and Workshop on Computing and Communication, IEMCON 2015, Vancouver, British Columbia, Canada, 15/10/15. https://doi.org/10.1109/IEMCON.2015.7344527

Enhanced Apriori Algorithm model in course suggestion system. / Bhandari, Pawan; Withana, Chandana; Alsadoon, Abeer et al.
2015 International Conference and Workshop on Computing and Communication, IEMCON 2015. ed. / Satyajit Chakrabarti; Himadri Nath Saha. IEEE, Institute of Electrical and Electronics Engineers, 2015. 7344527 (2015 International Conference and Workshop on Computing and Communication, IEMCON 2015).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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AU - Bhandari, Pawan

AU - Withana, Chandana

AU - Alsadoon, Abeer

AU - Elchouemi, Amr

PY - 2015/12/2

Y1 - 2015/12/2

N2 - Association Rule Mining (ARM) includes one of the most popular algorithms called Apriori Algorithm (AA) in it. AA has some limitations and areas for improvement related to the execution time consumption. The extended AA has some improvements based on the existing algorithm AA. The main findings indicate that not much has been done in an educational data mining considering the volume of data that is observed. Therefore, it is intended to evaluate to what extent an ARM can be utilized in an educational data mining context. Specifically, this paper develops an extended AA mining algorithm and applies it to the higher education system, focusing on the student's course planning system. This project focuses on introducing AA and ARM, implementing the enhanced features of the AA in educational data, develop the course recommender model. Finally, it evaluates the enhanced algorithm compared to the existing AA to help build a course suggestion system for students.

AB - Association Rule Mining (ARM) includes one of the most popular algorithms called Apriori Algorithm (AA) in it. AA has some limitations and areas for improvement related to the execution time consumption. The extended AA has some improvements based on the existing algorithm AA. The main findings indicate that not much has been done in an educational data mining considering the volume of data that is observed. Therefore, it is intended to evaluate to what extent an ARM can be utilized in an educational data mining context. Specifically, this paper develops an extended AA mining algorithm and applies it to the higher education system, focusing on the student's course planning system. This project focuses on introducing AA and ARM, implementing the enhanced features of the AA in educational data, develop the course recommender model. Finally, it evaluates the enhanced algorithm compared to the existing AA to help build a course suggestion system for students.

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Bhandari P, Withana C, Alsadoon A, Elchouemi A. Enhanced Apriori Algorithm model in course suggestion system. In Chakrabarti S, Saha HN, editors, 2015 International Conference and Workshop on Computing and Communication, IEMCON 2015. IEEE, Institute of Electrical and Electronics Engineers. 2015. 7344527. (2015 International Conference and Workshop on Computing and Communication, IEMCON 2015). doi: 10.1109/IEMCON.2015.7344527

Enhanced Apriori Algorithm model in course suggestion system

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