CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Prediction of Secondary School Students’ Alcohol Addiction using Random Forest

by B. Hariharan, R. Krithivasan, Angel Deborah
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 6
Year of Publication: 2016
Authors: B. Hariharan, R. Krithivasan, Angel Deborah
10.5120/ijca2016911423

B. Hariharan, R. Krithivasan, Angel Deborah . Prediction of Secondary School Students’ Alcohol Addiction using Random Forest. International Journal of Computer Applications. 149, 6 ( Sep 2016), 21-25. DOI=10.5120/ijca2016911423

@article{ 10.5120/ijca2016911423,
author = { B. Hariharan, R. Krithivasan, Angel Deborah },
title = { Prediction of Secondary School Students’ Alcohol Addiction using Random Forest },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 6 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number6/26001-2016911423/ },
doi = { 10.5120/ijca2016911423 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:00.332784+05:30
%A B. Hariharan
%A R. Krithivasan
%A Angel Deborah
%T Prediction of Secondary School Students’ Alcohol Addiction using Random Forest
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 6
%P 21-25
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Teenage alcohol addiction poses a major problem to the well-being of the individual as well as the society. Prevention of this requires identifying the factors causing this addiction. The existing systems mainly rely on decision trees and are able to isolate the factors causing the addiction. The proposed system will be able to predict whether a student with a set of conditions will get addicted to alcohol or not with high accuracy and thereby verify the extent to which the isolated factors are correct.

References
  1. P. Cortez and A. Silva. Using data mining to predict secondary school student performance. [In a. brito and j. teixeira eds. proceedings of 5th future business technology conference (fubutec2008) pp: 5-12 porto portugal]. 2008.BRITO, A. ; TEIXEIRA, J., eds. lit. – “Proceedings of 5th Annual Future Business Technology Conference, Porto, 2008”. [S.l. : EUROSIS, 2008]. ISBN 978-9077381-39-7. p. 5-12..
  2. Breiman L. Friedman J. Ohlsen R. and Stone C. classification and regression trees. 1984.ISBN 978-1-118-44714-7
  3. Using Data Mining To Predict Secondary School Student Alcohol Consumption. Fabio Pagnotta, Hossain Mohammad Amran, Department of Computer Science, University of Camerino
  4. Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Hawkins, J. David; Catalano, Richard F.; Miller, Janet Y. Psychological Bulletin, Vol 112(1), Jul 1992, 64-105
  5. Classification and Regression by random Forest Andy Liaw and Matthew Wiener , R News Vol. 2/3, December 2002. ISSN 1609-3631 ... 0.1842105. Veh. 7. 4. 6. 0. 0. 0. 0.6470588. Con. 0. 2. 0 10. 0. 1. 0.2307692.
  6. http://www.statsoft.com/Textbook/Support-Vector-Machines
  7. Drinkaware.co.uk. Why underage drinking is a risky business.
  8. Drugfreeworld.org. The truth about alcohol.
  9. ISBN:0387848584 The Elements of Statistical Learning: Data Mining, Inference, and Prediction.By Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Index Terms

Computer Science
Information Sciences

Keywords

Student alcohol behavior Prediction data mining patterns Knowledge patterns

Powered by PhDFocusTM