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Detecting Anomalies and Intruders
2006Brittleness is a well-known problem in expert systems where a conclusion can be made, which human common sense would recognise as impossible e.g. that a male is pregnant. We have extended previous work on prudent expert systems to enable an expert system to recognise when a case is outside its range of experience.
Akara Prayote, Paul Compton
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Proceedings of the 8th ACM SIGSPATIAL Workshop on GeoStreaming, 2017
An unsupervised methodology is presented for the detection of motion anomalies using spatial context and multivariate statistical tests. The method is applied to GPS data captured for a taxi fleet in Porto, Portugal; and, AIS data captured for ships operating in the Aegean Sea.
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An unsupervised methodology is presented for the detection of motion anomalies using spatial context and multivariate statistical tests. The method is applied to GPS data captured for a taxi fleet in Porto, Portugal; and, AIS data captured for ships operating in the Aegean Sea.
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2022 IEEE International Conference On Artificial Intelligence Testing (AITest), 2022
Muyeed Ahmed, Iulian Neamtiu
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Muyeed Ahmed, Iulian Neamtiu
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2007 IEEE Intelligence and Security Informatics, 2007
Graph data represents relationships, connections, or affinities. Normal relationships produce repeated, and so common, substructures in graph data. We present techniques for discovering anomalous substructures in graphs, for example small cliques, nodes with unusual neighborhoods, or small unusual subgraphs, using extensions of spectral graph ...
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Graph data represents relationships, connections, or affinities. Normal relationships produce repeated, and so common, substructures in graph data. We present techniques for discovering anomalous substructures in graphs, for example small cliques, nodes with unusual neighborhoods, or small unusual subgraphs, using extensions of spectral graph ...
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ANOMALY DETECTION METHOD AND ANOMALY DETECTION DEVICE
2021SASAKI TAKAMITSU +5 more
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Reconstruction by inpainting for visual anomaly detection
Pattern Recognition, 2021Matej Kristan, Danijel Skočaj
exaly
A Review on Outlier/Anomaly Detection in Time Series Data
ACM Computing Surveys, 2022U Mori +2 more
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Hyperspectral Anomaly Detection: A survey
IEEE Geoscience and Remote Sensing Magazine, 2022Qian Du, Hongjun Su, Zhaoyue Wu
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