Title :
Adversarial Knowledge Discovery
Author :
Skillicorn, David B.
Author_Institution :
Queen´´s Univ. Kingston, Kingston, ON, Canada
Abstract :
In adversarial settings, knowledge discovery must be dynamic, adapting to both the changing face of normality and the rapidly changing properties of adversaries.
Keywords :
data mining; adversarial knowledge discovery; Buildings; Business communication; Customer relationship management; Insurance; Manipulator dynamics; Recruitment; Surveillance; Training data; counterterrorism; data mining; fraud; fringe clusters; law enforcement; predicting normality;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2009.108
