A Survey on Tools and Techniques of Classification in Educational Data Mining
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68639-9_7
Reference35 articles.
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3. Roy, S., Garg, A.: Predicting academic performance of student using classification techniques. In: 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) University, Mathura, 26–28 October (2017)
4. Aleem, A., Gore, M.M.: Educational data mining methods: a survey. In: 9th IEEE International Conference on Communication Systems and Network Technologies (2020)
5. Hussain, S., Dahan, N.A., Ba-Alwi, F.M., Ribata, N.: Educational data mining and analysis of students’ academic performance using WEKA. Indonesian J. Electr. Eng. Comput. Sci. 9(2), 447 (2018). https://doi.org/10.11591/ijeecs.v9.i2.pp447-459. ISSN 2502-4752
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