ACM Computing Surveys (CSUR)
Matrix computations (3rd ed.)
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
On clusterings-good, bad and spectral
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Introduction to special issue on terrorism informatics
Information Systems Frontiers
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Intelligence and law enforcement agencies collect large datasets, but have difficulty focusing analyst attention on the most significant records and structures within them. We address this problem using suspicion, which we interpret as relevant anomaly, as the measure associated with data records and individuals. For datasets collected about widespread activities in which the signs of adversarial activity are rare, we suggest ways to build predictive models of suspicion. For datasets collected as the result of lawful interception, we suggest a model of suspicion spreading using the social network implied by the intercepted data.