Crime Data Mining Based on Extension Classification
The problem of knowledge management in the knowledge intensive and time critical environment of police department has posed an interesting problem for information technology professionals in the field. In this paper, we propose an extension formal analysis algorithm for maintaining temporal association rules with cooperative numerical attributes by using the intuition learning method. The new algorithm has been implemented to support the discoveries of crime patterns in a district of Dalian of China. We have also experimented with another real life database of courier records of a criminal investigation. Future development efforts for data analysis and knowledge discovery project will also be discussed.
extension data mining computing data mapping intuition learning intuitive data inversion crime pattern discovery
Weidong Tao
Department of Information Liaoning Police Academy Dalian, China
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
466-469
2010-12-25（万方平台首次上网日期，不代表论文的发表时间）