Gyeongseok Oh
Biographic Data
| ID | 4198412 |
|---|---|
| NAME | Gyeongseok Oh |
| GIVEN NAMES | Gyeongseok |
| FAMILY NAME | Oh |
| SIGNATURE | OH G |
| AFFILIATIONS | Sam Houston State University |
| ORCID | 0000-0002-0447-4540 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 15 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Evaluation of Random Forest in Crime Prediction
This study evaluated random forest's accuracy in predicting violent or criminal behavior of juveniles compared to that of conventional logistic regression using different sets of risk factors. Drawing on the National Longitudinal Study of Adolescent Health (Add Health), we predicted three outcomes – arrests, convictions, and incarcerations – using three sets of predictors, starting with sociodemographic variables only (Model 1) and incrementally …
Social disorder and residence-based fear of crime
Unravelling the effect of cell phone reliance on adolescent self-control
Comparative analysis of Defensible Space in CPTED housing and non-CPTED housing
Measuring the crime displacement and diffusion of benefit effects of open-street CCTV in South Korea
Social disorder and residence-based fear of crime
Measuring the crime displacement and diffusion of benefit effects of open-street CCTV in South Korea
Evaluation of Random Forest in Crime Prediction
This study evaluated random forest's accuracy in predicting violent or criminal behavior of juveniles compared to that of conventional logistic regression using different sets of risk factors. Drawing on the National Longitudinal Study of Adolescent Health (Add Health), we predicted three outcomes – arrests, convictions, and incarcerations – using three sets of predictors, starting with sociodemographic variables only (Model 1) and incrementally …
Unravelling the effect of cell phone reliance on adolescent self-control
Comparative analysis of Defensible Space in CPTED housing and non-CPTED housing
Measuring the crime displacement and diffusion of benefit effects of open-street CCTV in South Korea
Comparative analysis of Defensible Space in CPTED housing and non-CPTED housing
Unravelling the effect of cell phone reliance on adolescent self-control
Social disorder and residence-based fear of crime
Evaluation of Random Forest in Crime Prediction
This study evaluated random forest's accuracy in predicting violent or criminal behavior of juveniles compared to that of conventional logistic regression using different sets of risk factors. Drawing on the National Longitudinal Study of Adolescent Health (Add Health), we predicted three outcomes – arrests, convictions, and incarcerations – using three sets of predictors, starting with sociodemographic variables only (Model 1) and incrementally …
Psychology (5 works) · Computer Science (4 works) · Crime Patterns and Interventions (4 works) · Medicine (3 works) · Business (2 works) · Crime prevention (2 works) · Criminology (2 works) · Social Psychology (2 works) · Social Psychology (2 works) · Sociology (2 works)