作者: Yun Shen , Trevor P. Martin , Pete Bramhall
DOI: 10.1109/CIS.2009.10
关键词: Data science 、 Computational intelligence 、 Fuzzy set 、 Terrorism 、 Association rule learning 、 The Internet 、 Computer science 、 National security 、 Profiling (information science)
摘要: In this paper, we examine issues related to the research and applications of computational intelligence techniques in security data analysis. We focus on solve problems that involve incomplete, vague or uncertain information, which is difficult come a crisp solution. It shown how an extended mass assignment framework can be used extract relations between soft categories. These are association rules useful when integrating multiple information sources. Experimental results terrorism incident databases Web search logs, respectively relating national user behaviour profiling, demonstrated discussed paper.