Issue No. 06 - November/December (2009 vol. 24)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2009.108
David B. Skillicorn , Queen's University Kingston, Canada
<p>In adversarial settings, knowledge discovery must be dynamic, adapting to both the changing face of normality and the rapidly changing properties of adversaries.</p>
data mining, law enforcement, fraud, counterterrorism, fringe clusters, predicting normality
D. B. Skillicorn, "Adversarial Knowledge Discovery," in IEEE Intelligent Systems, vol. 24, no. , pp. 54-61, 2009.