1 |
Tak H. S., Park, J. H., Jeong, J. S., & Yoon, J. W. (2015). Building Crime Prevention System Utilizing Big Data(II), Seoul, Korea: Korean Institute of Criminology.
|
2 |
Yoon, H. S. Jeon. H. W., Yang, C. S. Kim B. S., & Kim K. B. et al., (2014). Building Crime Prevention System Utilizing Big Data(I), Seoul, Korea: Korean Institute of Criminology. Doi: https://doi.org/10.23000/TRKO201500001310
DOI
|
3 |
Kim, O. H. (1999). Case analysis using neural network data analysis technique, Domestic Master's Thesis Graduate School, Ewha Womans University, Seoul.
|
4 |
Chung, Y. S, Kim, J. M., & Park, K. R. (2012). A study of improved ways of the predicted probability to criminal types, Journal of The Korea Society of Computer and Information, 17(4), 12-21.
|
5 |
Heo, S. Y., Kim, J. Y., & Moon, T. H. (2018). Predicting Crime Risky Area Using Machine Learning, Journal of the Korean Association of Geographic Information Studies, 21(4), 34-43.
DOI
|
6 |
Joo, I. Y. (2012). A Case Study on Crime Prediction using Time Series Models, Korean security science review, 30, 139-169.
|
7 |
Kim, K. P., & Song, S. W. (2018). A Study on Prediction of Business Status Based on Machine Learning, Korean Journal of Artificial Intelligence, 6(2), 23-27.
|
8 |
Kang, M. S., Kang, H. J., You, K. B., Lim, C. H., & Choi, E. S., (2018). Getting started with machine learning with Microsoft's Edge Machine Learning Studio, Hanti Media, 1(1), 89-132.
|
9 |
Kim, M. S., & Kang, T. W. (2018). Proposal and Analysis of Various Link Architectures in Multilayer Neural Network, Journal of KIIT, 16 (4), 11-19.
DOI
|
10 |
Park,J. H. (2014). Comparing performances of logistic regression and decision tree for classifying infection risk with patients in chemotherapy, Domestic Master'sThesis Graduate School, Kyunghee University, Seoul
|
11 |
Park, J. M. (2018). A Study on the Prediction Model of Crime Frequency Using Big Data, Domestic doctoral dissertation Graduate School, Kongju National University, Chungcheongnam-do.
|
12 |
Park,J. Y.,Chae, M. S., &Jung, S. K. (2016). Classification Model of Types of Crime based on Random-Forest Algorithms and Monitoring Interface Design Factors for Real-time Crime Prediction, KIISE Transactions on Computing Practices, 22(9), 455-460
DOI
|
13 |
You, S. H., & Kang, M. S. (2020). AStudy on Methods to Prevent Pima Indians Diabetes using SVM. Korean Journal of Artificial Intelligence 8(2), 7-10.
DOI
|