최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기대한건축학회논문집 = Journal of the architectural institute of korea, v.36 no.8, 2020년, pp.81 - 90
권나연 (세종대 일반대학원 건축학과) , 권은서 (세종대 일반대학원 건축학과) , 정성원 (세종대 건축학과)
Data mining is receiving attention as a way to derive useful knowledge and patterns from crime data. Among the data mining techniques, clustering is utilized in the criminal field mainly to analyze hot spots or occurrence patterns. However, most research is concluded at the clustering stage and thus...
Bae, W. k., Kim, H. J., & Kwon, G. O. (2009). A Study on the Relationship between Land Use Patterns and Crime Rates - Focused on the Bundang Newtown in 2006, Journal of the Urban Design Institute of Korea Urban Design, 10(4), 5-20
Birch, C. P., Oom, S. P., & Beecham, J. A. (2007). Rectangular and hexagonal grids used for observation, experiment and simulation in ecology, Ecological modelling, 206(3-4), 347-359.
Brantingham, P. J., & Brantingham, P. L. (1981). Environmental criminology, Beverly Hills, CA: Sage Publications, pp. 27-54.
Buczak, A. L., & Gifford, C. M. (2010). Fuzzy association rule mining for community crime pattern discovery, In ACM SIGKDD Workshop on Intelligence and Security Informatics, 1-10.
Chandra, B., Gupta, M., & Gupta, M. P. (2008). A multivariate time series clustering approach for crime trends prediction, In 2008 IEEE International Conference on Systems, Man and Cybernetics, 892-896.
Chang, L.F., Feng, W. T., & Su, M. D. (2007). Grid-based Socioeconomic Database For Exposure Estimation in Flooding Risk Analysis, Water Management and Climate Change Towards Asia's Water-Energy-Food Nexus, 25-27.
Chen, H., Chung, W., Xu, J. J., Wang, G., Qin, Y., & Chau, M. (2004). Crime data mining: a general framework and some examples, computer, 37(4), 50-56.
Cohen, L., E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach, American Sociological Review, 44:588-608.
Dzemydiene, D., & Rudzkiene, V. (2002). Multiple regression analysis in crime pattern warehouse for decision support, In International Conference on Database and Expert Systems Applications, 249-258.
Eck, J., & Weisburd, D. L. (2015). Crime places in crime theory, Crime and place: Crime prevention studies, 4.
Hwang, J. T. (2004). A Study on Target Selection of Burglars, Robbers and Thieves, Korean Institute of Criminology, 17-247.
Huang, Z. (1997). A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining, In Research Issues on Data Mining and Knowledge Discovery, 281-297.
Jung, M. W., & Kim, S. P. (1997). A Study on the Crime Occurrence and Environment Characteristics in Residential Area, Journal of the Architectural Institute of Korea, 13(3), 69-76.
Kim, B. H., & Kim, K. S. (2002). General Research Papers : Improvements of K - modes Algorithm and ROCK Algorithm, The Korean Journal of Applied Statistics, 15, 81-393.
Kim, D. K., Yoon, Y. J., & Ahn, K. H. (2007). A Study on Urban Crime in Relation to Land Use Patterns, Journal of Korea Planning Association, 42(7), 155-168.
Kim, M. S., & Lee, J. Y. (2015). A Data Transformation Method for Visualizing the Statistical Information based on the Grid, Journal of Korea Spatial Information Society, 23(5), 31-40.
Lee, H. I., & Kim, K. M. (2013). Spatial pattern analysis of urban crime in Seoul Metropolitan Area, Korean Journal of Public Safety and Criminal Justice, 22(4), 217-246.
Lee, K. J., Kim, Y. J., & Hong, S. J. (2015). An Empirical Study on Exploration of Spatial Association between Crime and Land Use, Journal of the Korean Urban Management Association, 28(4), 245-267.
Lee, S. W., & Cho, J. K. (2006). The Effects of Spatial and Environmental Factors on Crime Victimization, The Seoul Studies, 7(2), 57-76.
Liu, H., & Brown, D. E. (2003). Criminal incident prediction using a point-pattern-based density model, International journal of forecasting, 19(4), 603-622.
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations, In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, 1(14), 281-297.
Mancini, F., Ceppi, C., & Ritrovato, G. (2010). GIS and statistical analysis for landslide susceptibility mapping in the Daunia area (Italy), Natural Hazards and Earth System Sciences (NHESS), ISSN 1561-8633, 10, 1851-1864.
Nakaya, T., & Yano, K. (2010). Visualising crime clusters in a space-time cube: An exploratory dataanalysis approach using space-time kernel density estimation and scan statistics, Transactions in GIS, 14(3), 223-239.
Park, M. K. (2003). Implementation of Crime Prediction Map Using Space Analysis of GIS: A Case Study of Seongbuk-gu, Seoul, Kyung Hee University.
Seok, J. H., & Hyae, J. B. (2017). A Study on the Correlation between The Wall Removal and Crime Prevention Through Environmental Design Considering Improvement of Residential Environment - Focusing on Sungdae Valley -, Journal of The Korean Society of Living Environmental System, 24(6), 858-864.
Shaw, C. R., & McKay, H. D. (1942). Juvenile delinquency and urban areas, University of Chicago Press.
Shu, C. F., Hampapur, A., Lu, M., Brown, L., Connell, J., Senior, A., & Tian, Y. (2005). IBM smart surveillance system (S3): a open and extensible framework for event based surveillance, In IEEE Conference on Advanced Video and Signal Based Surveillance, 318-323.
Stucky, T. D., & Ottensmann, J. R. (2009). Land use and violent crime. Criminology, 47(4), 1223-1264.
Yu, C. H., Ward, M. W., Morabito, M., & Ding, W. (2011). Crime forecasting using data mining techniques., IEEE 11th international conference on data mining workshops, 779-786.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.