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Evaluating Students Performance by Artificial Neural Network using WEKA

by Sumam Sebastian, Jiby J Puthiyidam
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

@article{ 10.5120/21380-4370,
author = { Sumam Sebastian, Jiby J Puthiyidam },
title = { Evaluating Students Performance by Artificial Neural Network using WEKA },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 23 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number23/21380-4370/ },
doi = { 10.5120/21380-4370 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:02.381043+05:30
%A Sumam Sebastian
%A Jiby J Puthiyidam
%T Evaluating Students Performance by Artificial Neural Network using WEKA
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 23
%P 36-39
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Educational Data Mining Artificial Neural Network Multilayer Perceptron Neural Network(MLP) Association Rule Mining