@article{ART002558740},
author={Kim yu jeong and Dong-su Lee},
title={Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={2},
pages={213-219},
doi={10.9708/jksci.2020.25.02.213}
TY - JOUR
AU - Kim yu jeong
AU - Dong-su Lee
TI - Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 2
PB - The Korean Society Of Computer And Information
SP - 213
EP - 219
SN - 1598-849X
AB - In this paper, we propose a classification analysis method for diagnosing and predicting problematic smartphone use in order to provide policy data on problematic smartphone use, which is getting worse year after year. Attempts have been made to identify key variables that affect the study. For this purpose, the classification rates of Decision Tree, Random Forest, and Support Vector Machine among machine learning analysis methods, which are artificial intelligence methods, were compared. The data were from 25,465 people who responded to the ‘2018 Problematic Smartphone Use Survey’ provided by the Korea Information Society Agency and analyzed using the R statistical package (ver. 3.6.2). As a result, the three classification techniques showed similar classification rates, and there was no problem of overfitting the model. The classification rate of the Support Vector Machine was the highest among the three classification methods, followed by Decision Tree and Random Forest. The top three variables affecting the classification rate among smartphone use types were Life Service type, Information Seeking type, and Leisure Activity Seeking type.
KW - Problematic Smartphone Use;Machine Learning;Smartphone Use Type;Decision Tree;Random Forest;and Support Vector Machine
DO - 10.9708/jksci.2020.25.02.213
ER -
Kim yu jeong and Dong-su Lee. (2020). Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique. Journal of The Korea Society of Computer and Information, 25(2), 213-219.
Kim yu jeong and Dong-su Lee. 2020, "Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique", Journal of The Korea Society of Computer and Information, vol.25, no.2 pp.213-219. Available from: doi:10.9708/jksci.2020.25.02.213
Kim yu jeong, Dong-su Lee "Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique" Journal of The Korea Society of Computer and Information 25.2 pp.213-219 (2020) : 213.
Kim yu jeong, Dong-su Lee. Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique. 2020; 25(2), 213-219. Available from: doi:10.9708/jksci.2020.25.02.213
Kim yu jeong and Dong-su Lee. "Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique" Journal of The Korea Society of Computer and Information 25, no.2 (2020) : 213-219.doi: 10.9708/jksci.2020.25.02.213
Kim yu jeong; Dong-su Lee. Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique. Journal of The Korea Society of Computer and Information, 25(2), 213-219. doi: 10.9708/jksci.2020.25.02.213
Kim yu jeong; Dong-su Lee. Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique. Journal of The Korea Society of Computer and Information. 2020; 25(2) 213-219. doi: 10.9708/jksci.2020.25.02.213
Kim yu jeong, Dong-su Lee. Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique. 2020; 25(2), 213-219. Available from: doi:10.9708/jksci.2020.25.02.213
Kim yu jeong and Dong-su Lee. "Predictive Analysis of Problematic Smartphone Use by Machine Learning Technique" Journal of The Korea Society of Computer and Information 25, no.2 (2020) : 213-219.doi: 10.9708/jksci.2020.25.02.213
