Anomaly Detection and Attribution Using Bayesian Networks. Kirk, A., Legg, J., & El-Mahassni, E. Technical Report DSTP-TR-2975, DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION CANBERRA (AUSTRALIA), DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION CANBERRA (AUSTRALIA), June, 2014.
Anomaly Detection and Attribution Using Bayesian Networks [link]Paper  bibtex   
@techreport{kirk_anomaly_2014,
	title = {Anomaly {Detection} and {Attribution} {Using} {Bayesian} {Networks}},
	url = {http://www.dtic.mil/docs/citations/ADA610860},
	number = {DSTP-TR-2975},
	urldate = {2015-01-23},
	institution = {DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION CANBERRA (AUSTRALIA), DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION CANBERRA (AUSTRALIA)},
	author = {Kirk, Andrew and Legg, Jonathan and El-Mahassni, Edwin},
	month = jun,
	year = {2014},
	keywords = {*BAYES THEOREM, *NETWORKS, ANOMALIES, Algorithms, DEMONSTRATIONS, DETECTION, FOREIGN REPORTS, SEARCHING, SIMULATION, STANDARDS, Statistics and Probability, TEST AND EVALUATION},
}

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