Towards developing hybrid educational data mining model (HEDM) for efficient and accurate student performance evaluation

Author:

Karthikeyan V. Ganesh,Thangaraj P.,Karthik S.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference21 articles.

1. Adhatrao K, Gaykar A, Dhawan A, Jha R, Honrao V (2013) Predicting students’ performance using Id3 AND C4.5 classification algorithms. Int J Data Min Knowl Manag Process 3(5):39–52

2. Agaoglu M (2016) Predicting instructor performance using data mining techniques in higher education. IEEE Access 4:2379–2387

3. Agathe M, Yacef K (2005) Educational data mining: a case study. AIED 20:467–474

4. Altaher A, BaRukab O (2017) Prediction of student's academic performancebased on adaptive neuro-fuzzy inference. IJCSNS 17:165–169

5. Ayesha S, Mustafa T, Sattar A, Khan I (2010) Data mining model for higher education system. Eur J Sci Res 43(1):24–29

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