Analyzing and Comparing Clustering Algorithms for Student Academic Data

Author:

Bhurre Shraddha,Raikwar Sunny,Prajapat Shaligram,Pathak Deepika

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Amrieh, E., Hamtini, T., Aljarah, I.: Preprocessing and analyzing educational data set using X-API for improving student’s performance. In: 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT) (2015)

2. Alsheddy, A., Habib, M.: On the application of data mining algorithms for predicting student performance: a case study. Int. J. Comput. Sci. Net. Secur. 17(10), 189–197 (2017)

3. Prajapat, S., Agrawal, A., MC, A.: Towards realisation of assessment module using learning management system for integrated course. In: 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1179–1183) (2019)

4. Anuradha, C., Velmurugan, T., Anandavally, R.: Clustering algorithm in educational data mining: a review. Int. J. Power Control. Commun. (IJPCSC) 7, 47–52 (2015)

5. Kausar, S., Huahu, X., Hussain, I., Wenhao, Z., Zahid, M.: Integration of data mining clustering approach in the personalized e-learning system. IEEE ACCESS 6, 72724–72734 (2018)

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