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Data Mining Based on Neural Networks for Education Data Forecasting

Kavita Pabreja1

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-1 , Page no. 33-38, Jan-2015

Online published on Jan 31, 2015

Copyright © Kavita Pabreja . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kavita Pabreja, “Data Mining Based on Neural Networks for Education Data Forecasting,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.1, pp.33-38, 2015.

MLA Style Citation: Kavita Pabreja "Data Mining Based on Neural Networks for Education Data Forecasting." International Journal of Computer Sciences and Engineering 3.1 (2015): 33-38.

APA Style Citation: Kavita Pabreja, (2015). Data Mining Based on Neural Networks for Education Data Forecasting. International Journal of Computer Sciences and Engineering, 3(1), 33-38.

BibTex Style Citation:
@article{Pabreja_2015,
author = {Kavita Pabreja},
title = {Data Mining Based on Neural Networks for Education Data Forecasting},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2015},
volume = {3},
Issue = {1},
month = {1},
year = {2015},
issn = {2347-2693},
pages = {33-38},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=357},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=357
TI - Data Mining Based on Neural Networks for Education Data Forecasting
T2 - International Journal of Computer Sciences and Engineering
AU - Kavita Pabreja
PY - 2015
DA - 2015/01/31
PB - IJCSE, Indore, INDIA
SP - 33-38
IS - 1
VL - 3
SN - 2347-2693
ER -

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Abstract

Now-a-days, data mining has been used extensively in different domains of application for prediction. Data mining has demonstrated promising results in the field of educational prediction. Artificial Neural Networks in particular, find extensive application for understanding the peculiarities of education field but there is still a lot to be done as far as the Indian universities are concerned. In this paper, it has been verified that various personal and academic attributes of students can be used to predict the percentage of marks in graduation, using real data from the students of a Delhi state university’s affiliates.

Key-Words / Index Term

Educational Data Mining, Artificial Neural Network, Back Propagation, Academic Performance, Correlation analysis

References

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[4] Sivanandam S.N., Sumathi S., Deepa S.N.(2009). Introduction to Neural Networks using Matlab, Tata McGraw Hill Education Private Ltd., 2009.
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