Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis

Chaoguang Lin
Chaoguang Lin
Qiuhan Zhu
Qiuhan Zhu
Shunan Guo
Shunan Guo
Zhuochen Jin
Zhuochen Jin

Data Min. Knowl. Discov., Volume 32, Issue 4, 2018, Pages 1056-1073.

Other Links: dblp.uni-trier.de|link.springer.com|academic.microsoft.com

Abstract:

Anomaly detection in multidimensional data is a challenging task. Detecting anomalous mobility patterns in a city needs to take spatial, temporal, and traffic information into consideration. Although existing techniques are able to extract spatiotemporal features for anomaly analysis, few systematic analysis about how different factors co...More

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