Study on Crime Busting using Mathematical Model
In the paper we investigate a plot to crime. We use statistical analysis of basic principle and related constructs criminal hunt models, and statistics of each node and the number of suspected nodes correspond to . Then talking about the topic number it can be. With the help of correlation analysis and correlation coefficient, we obtain a suspect weight node and doubt topic, calculates scores of each node. After that, we select integral before 14 as a conspirator. Our model and method successfully determine priorities and scope of suspicious nodes for the sake of semantic network analysis and text analysis, needs further optimized. Last, an evaluation of the model developed in this paper is given, listing its advantages and limitations, and providing suggestions on measuring its performance.
Keywords: Statistics, Relevance, Weight, Priority, Index
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ABOUT THE AUTHORS
Xiufen Wang
Tianjin Agricultural University, China,Tianjin 300384
Fangfang Dou
Tianjin Agricultural University, China,Tianjin 300384
Wenwen Mao
Tianjin Agricultural University, China,Tianjin 300384
Zhihong Ma
Tianjin Agricultural University, China,Tianjin 300384
Xiufen Wang
Tianjin Agricultural University, China,Tianjin 300384
Fangfang Dou
Tianjin Agricultural University, China,Tianjin 300384
Wenwen Mao
Tianjin Agricultural University, China,Tianjin 300384
Zhihong Ma
Tianjin Agricultural University, China,Tianjin 300384
