Predicting Teens Stress According to Behavioural Activity of Parents Using Naive Bayes Classifier

Authors(2) :-Sumalatha. V, Dr. Santhi. R

In today world, depression is a major issue for teenagers. Even depression leads to committing suicides or to addict for drugs or leads to any illegal activities etc,. For the successful future of teenagers parents should have more responsibility. In this paper the work is carried out to find the stress level of teenagers if parents are working (Father & Mother).Researchers are using classifier techniques in the field of Medical , Academic, Bioinformatics , Bio computing etc. Using the supervised learning techniques to evaluate the teenagers from the dataset given. Based on the Evaluation to find the teenagers stress level according to parentís behavior. This research will be useful to control or avoid stress factors among teenagers. We can also improve the parental care to teenagers. Using the classification algorithm we can predict the stress level of teenagers.

Authors and Affiliations

Sumalatha. V
Research Scholar, Bharathiar University, Assestant Professor, Vels University, Chennai, Tamilnadu, India
Dr. Santhi. R
Professor, Head, Department of Computer Science and Engineering, A V College of Engineering, Vilupuram, Tamilnadu, India

Supervised Learning, Classification Algorithm, Naive Bayes

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Publication Details

Published in : Volume 1 | Issue 5 | September-October 2015
Date of Publication : 2015-10-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 173-176
Manuscript Number : IJSRSET151535
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sumalatha. V, Dr. Santhi. R, " Predicting Teens Stress According to Behavioural Activity of Parents Using Naive Bayes Classifier, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.173-176, September-October-2015.
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