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Terrorist organizations are not completely independent. However, they frequently interact with each other. Detecting the terrorist organizations cooperation behavior is quite helpful to develop effective counter-terrorism strategy. Computational intelligence techniques used to design effective data analysis method offer a way for monitoring covert terrorism activities. In this paper, we propose a...
In the area of big data, people have a new perspective on counter-terrorism research. In this paper, we have carried out a systematic research on the applications of big data in counter-terrorism field by using quantitative analysis method. And then we have demonstrated effect of big data on counter-terrorism research from data collection and preprocessing, data mining and analysis, monitoring and...
Social network analysis (SNA) has become an important tool for analyzing covert network, especially of terrorist networks. Detecting changes over time from an SNA perspective has an important significance. It may signal an underlying change ignored, and may even predict significant event and behaviors. It is promising to use abnormality detection method based on Statistical Process Control (SPC) in...
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