UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1812674


Registration ID:
193685

Page Number

558-563

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Title

An Empirical Analysis of Academic Stress on Student in Colleges with Machine Learning Algorithm

Abstract

The major threat to student life in the last few decades is a psychological problem. Sharing their feelings in social media is commons in recent days. Parent and teachers feel difficult to handle the stress of adolescence age student in their institution and families. The emotional states are not in long-lasting; their emotion will be in pleasant emotion such as joy or unpleasant emotion such as worry. The recent studies relieve that male student have lower academic stress than the female student. Through psychological question, students are tested to identify the stress factor that them. In this proposed work the stress state of the student is clustered using k-means clustering algorithm and it categories percentage of stress factor of the student.

Key Words

psychological problem, stress factor, k-means clustering

Cite This Article

"An Empirical Analysis of Academic Stress on Student in Colleges with Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.558-563, December-2018, Available :http://www.jetir.org/papers/JETIR1812674.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Empirical Analysis of Academic Stress on Student in Colleges with Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp558-563, December-2018, Available at : http://www.jetir.org/papers/JETIR1812674.pdf

Publication Details

Published Paper ID: JETIR1812674
Registration ID: 193685
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 558-563
Country: puducherry, puducherry, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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