1 |
Kim, B., Bae, W., Seok, K., Cho, D., and Choi, K. (2018a). SAS EM 14.1 Data Mining Basis and Application, Kyowoo, 293-317.
|
2 |
Kim, H., Shin, D., Shin, W., and Hwang, C. (2018b). Rating Information-Aided Denoising AutoEncoder for effective collaborative filtering, The Journal of Korean Institute of Communications and Information Sciences, 43, 357-1367.
|
3 |
Kim, M., Kim, S., and Ock, C. (2015). A predictive model of problem drinking of workers using decision tree analysis, Journal of The Korean Society of Living Environmental System, 22, 460-468.
DOI
|
4 |
Kim, S. Y. (2016). The comparison of analytical models for risk factors of colonic adenomatous polyp (Master Thesis), Graduate School, Chung-Ang University.
|
5 |
Leem, Y. M. and Ryu, C. H. (2006). A comparison of data mining techniques for predicting model of industrial accidents. In Proceedings for the Spring Conference 2006, Society of Korea Industrial and Systems Engineering, 107-113.
|
6 |
Park, I., Kim, Y., Choi, Y., Kim, S., Kim, E., Won, S., and Kang, S. (2013). Development of advanced TB case classification model using NHI claims data, The Journal of Digital Policy & Management, 11, 289-299.
|
7 |
Sakong, J. H. (2012). A study on predicting stock price based on data mining techniques (Master Thesis), Graduate School, Inje University.
|
8 |
Sohn, K., Lee, J., Lee, S., and Ryu, C. (2005). Statistical models for prediction of heavy rain in Honam area, Asia-Pacific Journal of Atmospheric Sciences, 41, 897-907.
|
9 |
Sung, O. (2013). A empirical study on the relevance of technology finance supporting business for technologically innovative SMEs, Journal of Korea Technology Innovation Society, 16, 303-322.
|
10 |
Bekkar, M., Djemaa, H. K., and Altiouche, T. A. (2013). Evaluation measures for models assessment over imbalanced data sets, Journal of Information Engineering and Applications, 3, 27-38.
|