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| David B. Skillicorn, "Adversarial Knowledge Discovery," IEEE Intelligent Systems, vol. 24, no. 6, pp. 54-61, November/December, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2009.108, author = {David B. Skillicorn}, title = {Adversarial Knowledge Discovery}, journal ={IEEE Intelligent Systems}, volume = {24}, number = {6}, issn = {1541-1672}, year = {2009}, pages = {54-61}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2009.108}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Adversarial Knowledge Discovery IS - 6 SN - 1541-1672 SP54 EP61 EPD - 54-61 A1 - David B. Skillicorn, PY - 2009 KW - data mining KW - law enforcement KW - fraud KW - counterterrorism KW - fringe clusters KW - predicting normality VL - 24 JA - IEEE Intelligent Systems ER - | |||
In adversarial settings, knowledge discovery must be dynamic, adapting to both the changing face of normality and the rapidly changing properties of adversaries.
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