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Student Psychology Prediction and Recommendation System Using Rough Set Theory

Bhakti Ratnaparkhi1 , Lokesh Katore2 , J. S. Umale3 , Niharika Upadhyay4

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-5 , Page no. 323-327, May-2015

Online published on May 30, 2015

Copyright © Bhakti Ratnaparkhi, Lokesh Katore, J. S. Umale , Niharika Upadhyay . 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: Bhakti Ratnaparkhi, Lokesh Katore, J. S. Umale , Niharika Upadhyay, “Student Psychology Prediction and Recommendation System Using Rough Set Theory,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.323-327, 2015.

MLA Style Citation: Bhakti Ratnaparkhi, Lokesh Katore, J. S. Umale , Niharika Upadhyay "Student Psychology Prediction and Recommendation System Using Rough Set Theory." International Journal of Computer Sciences and Engineering 3.5 (2015): 323-327.

APA Style Citation: Bhakti Ratnaparkhi, Lokesh Katore, J. S. Umale , Niharika Upadhyay, (2015). Student Psychology Prediction and Recommendation System Using Rough Set Theory. International Journal of Computer Sciences and Engineering, 3(5), 323-327.

BibTex Style Citation:
@article{Ratnaparkhi_2015,
author = {Bhakti Ratnaparkhi, Lokesh Katore, J. S. Umale , Niharika Upadhyay},
title = {Student Psychology Prediction and Recommendation System Using Rough Set Theory},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {5},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {323-327},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=526},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=526
TI - Student Psychology Prediction and Recommendation System Using Rough Set Theory
T2 - International Journal of Computer Sciences and Engineering
AU - Bhakti Ratnaparkhi, Lokesh Katore, J. S. Umale , Niharika Upadhyay
PY - 2015
DA - 2015/05/30
PB - IJCSE, Indore, INDIA
SP - 323-327
IS - 5
VL - 3
SN - 2347-2693
ER -

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Abstract

Big data analysis includes many theories and methods for prediction system. Statistical methods such as Person’s correlation, Regression analysis and Rough Set Theory etc are being used for predicting facts. Also theory like collaboration filtering uses word’s filtering to predict and provide recommendations. We have studied all these methods and selected most appropriate method for student’s psychology prediction. In our proposed work we have used Rough sets to extract the rules for prediction of student’s psychology. Rough Set is a comparatively recent method that has been effective in various fields such as medical, geological and other fields where intelligent decision making is required. Our experiments with rough sets in predicting student’s psychology produced attractive results.

Key-Words / Index Term

Psychology; Prediction; RST

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