Anomaly detection in dynamic networks: a survey (2015)

by S Ranshous, S Shen, D Koutra, C Faloutsos, N F Samatova
Venue:Wiley Interdisciplinary Reviews: Computational Statistics
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by Marjan Momtazpour, Naren Ramakrishnan
"... We present an analysis of taxi flows in Manhattan (NYC) using a variety of data mining approaches. The methods presented here can aid in development of representative and accurate models of large-scale traffic flows with applications to many areas, including outlier detection and characteriza-tion. ..."
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We present an analysis of taxi flows in Manhattan (NYC) using a variety of data mining approaches. The methods presented here can aid in development of representative and accurate models of large-scale traffic flows with applications to many areas, including outlier detection and characteriza-tion.
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