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Reseach Article

Comparative Analysis of Student Psychology Prediction-Recommendation Two Phase Strategy

by Bhakti Ratnaparkhi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 7
Year of Publication: 2016
Authors: Bhakti Ratnaparkhi

Bhakti Ratnaparkhi . Comparative Analysis of Student Psychology Prediction-Recommendation Two Phase Strategy. International Journal of Computer Applications. 153, 7 ( Nov 2016), 38-42. DOI=10.5120/ijca2016912110

@article{ 10.5120/ijca2016912110,
author = { Bhakti Ratnaparkhi },
title = { Comparative Analysis of Student Psychology Prediction-Recommendation Two Phase Strategy },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 7 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016912110 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:58:32.787553+05:30
%A Bhakti Ratnaparkhi
%T Comparative Analysis of Student Psychology Prediction-Recommendation Two Phase Strategy
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 7
%P 38-42
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

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.

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Index Terms

Computer Science
Information Sciences


Student’s psychology prediction recommendation rough set theory