%0 Conference Paper %1 conf/wisi/QiaoTPFX06 %A Qiao, Shaojie %A Tang, Changjie %A Peng, Jing %A Fan, Hongjian %A Xiang, Yong %B Proceedings of Intelligence and Security Informatics: International Workshop, WISI 2006 %C Singapore %D 2006 %E Chen, Hsinchun %E Wang, Fei Yue %E Yang, Christopher C. %E Chau, Daniel Zengand Michael %E Chang, Kuiyu %I Springer %K Expression Gene Programming algorithms, genetic programming, %P 133--138 %R doi:10.1007/11734628_16 %T VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming %U http://dx.doi.org/10.1007/11734628_16 %V 3917 %X Intelligence operation against the terrorist network has been studied extensively with the aim to mine the clues and traces of terrorists. The contributions of this paper include: (1) introducing a new approach to classify terrorists based on Gene Expression Programming (GEP); (2) analysing the characteristics of the terrorist organisation, and proposing an algorithm called Create Virtual Community (CVC) based on tree-structure to create a virtual community; (3) proposing a formal definition of Virtual Community (VC) and the VCCM Mining algorithm to mine the core members of a virtual community. Experimental results demonstrate the effectiveness of VCCM Mining. This work was supported by National Science Foundation of China (60473071), Specialised Research Fund for Doctoral Program by the Ministry of Education (20020610007). %@ 3-540-33361-4

@inproceedings{conf/wisi/QiaoTPFX06, abstract = {Intelligence operation against the terrorist network has been studied extensively with the aim to mine the clues and traces of terrorists. The contributions of this paper include: (1) introducing a new approach to classify terrorists based on Gene Expression Programming (GEP); (2) analysing the characteristics of the terrorist organisation, and proposing an algorithm called Create Virtual Community (CVC) based on tree-structure to create a virtual community; (3) proposing a formal definition of Virtual Community (VC) and the VCCM Mining algorithm to mine the core members of a virtual community. Experimental results demonstrate the effectiveness of VCCM Mining. This work was supported by National Science Foundation of China (60473071), Specialised Research Fund for Doctoral Program by the Ministry of Education (20020610007).}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Singapore}, author = {Qiao, Shaojie and Tang, Changjie and Peng, Jing and Fan, Hongjian and Xiang, Yong}, bibdate = {2006-03-15}, bibsource = {DBLP, http://dblp.uni-trier.de/db/conf/wisi/wisi2006.html#QiaoTPFX06}, biburl = {https://www.bibsonomy.org/bibtex/2fe2617d7d355766d07f02412ac5a4815/brazovayeye}, booktitle = {Proceedings of Intelligence and Security Informatics: International Workshop, WISI 2006}, doi = {doi:10.1007/11734628_16}, editor = {Chen, Hsinchun and Wang, Fei Yue and Yang, Christopher C. and Chau, Daniel Zengand Michael and Chang, Kuiyu}, interhash = {efb37b412628800d49c195b888c3e0c6}, intrahash = {fe2617d7d355766d07f02412ac5a4815}, isbn = {3-540-33361-4}, keywords = {Expression Gene Programming algorithms, genetic programming,}, month = {April 9}, pages = {133--138}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, size = {6 pages}, timestamp = {2008-06-19T17:49:57.000+0200}, title = {{VCCM} Mining: Mining Virtual Community Core Members Based on Gene Expression Programming}, url = {http://dx.doi.org/10.1007/11734628_16}, volume = 3917, year = 2006 }