Learning from socio-economic characteristics of IP geo-locations for cybercrime prediction

Author: Kianmehr Keivan  

Publisher: Inderscience Publishers

ISSN: 1743-8187

Source: International Journal of Business Intelligence and Data Mining, Vol.7, Iss.1-2, 2012-08, pp. : 21-39

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract