1 |
Bark, H. M. (2012). Concept and features of random crime: Crimes against random people. Journal of the Korean Association of Public Safety and Criminal Justice, 50, 226-258.
|
2 |
Chang, I. S., Cha, H. H., Park, G. M., Lee, K. J., Kim, S. K. and Cha, J. S. (2009). A study of scenario and trends in intelligent surveillance camera. Journal of the Intelligent Transport System, 24, 93-101.
|
3 |
Cho, K. H. and Park, H. C. (2011). A study insignifiant rules discovery in association rule mining. Journal of the Korean Data & Information Science Society, 22, 81-88.
|
4 |
Edward, T. H. (1963). A system for the notation of proxemic behaviour. Journal of the American Anthropologist, 65, 1003-1026.
DOI
|
5 |
Hahsler, M., Grun, B., Hornik, K. and Buchta, C. (2009). Introduction to arule- A computational environment for mining association rules and frequent item sets, The Comprehensive R Archive Network, USA.
|
6 |
Hong, S. Y. (2000). Criminal psychology, Hakjisa, Korea.
|
7 |
Kim, C. K., Kang, I. J., Park, D. H. and Kim, S. S. (2014). Analysis of the five major crime utilizing the correlation regression analysis with GIS. Journal of the Korean Society for Geospatial Information System, 22, 71-77.
|
8 |
Lim, J., Lee, K. and Cho, Y. (2010). A study of association rule by considering the frequency. Journal of the Korean Data & Information Science Society, 21, 1061-1069.
|
9 |
Park, S. H. and Jung, S. H. (2013). A preliminary research on technology development to ensure the safety of pedestrian, National Disaster Management Institute, Korea.
|