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Evaluating Students Performance by Artificial Neural Network using WEKA
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 119 - Number 23 |
| Year of Publication: 2015 |
| Authors: Sumam Sebastian, Jiby J Puthiyidam |
10.5120/21380-4370
|
Sumam Sebastian, Jiby J Puthiyidam . Evaluating Students Performance by Artificial Neural Network using WEKA. International Journal of Computer Applications. 119, 23 ( June 2015), 36-39. DOI=10.5120/21380-4370
Abstract
Data mining is the process of extracting hidden patterns and useful information from large set of data is now becoming part of current inventions. Data mining now can be applied to different fields like marketing, education; health etc. Data mining in field of education is named as educational data mining. Educational data mining can help institutions to predict the performance of their students so as to improve their academic results. In this paper artificial neural network is used to predict the performance of student. Multilayer Perceptron Neural Network is used for the implementation of prediction strategy. Experiment is conducted using weka and real time dataset available.
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