Attributes Selection for Predicting Students' Academic Performance using Education Data Mining and Artificial Neural Network

@article{Borkar2014AttributesSF,
  title={Attributes Selection for Predicting Students' Academic Performance using Education Data Mining and Artificial Neural Network},
  author={Suchita Borkar and K. Rajeswari},
  journal={International Journal of Computer Applications},
  year={2014},
  volume={86},
  pages={25-29}
}
  • S. Borkar, K. Rajeswari
  • Published 16 January 2014
  • Computer Science
  • International Journal of Computer Applications
Education Data mining plays an important role in predicting students’ performance,. It is a very promising discipline which has an imperative impact. In this paper students’ performance is evaluated and some attributes are selected which generate rules by means of association rule mining.. Artificial neural network checks accuracy of the results. A Multi-Layer Perceptron Neural Network is employed for selection of interesting features using 10 – fold cross validation.The artificial neural… 

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