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Detecting Anomalies in Time-Varying Networks Using ...
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由 A Sapienza 著作2015被引用 19 次 — Here we present an anomaly detection approach for temporal graph data, based on an iterative tensor decomposition and masking procedure.
(PDF) Detecting Anomalies in Time-Varying Networks ...
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2016年2月25日 — Here we present an anomaly detection approach for temporal graph data, based on an iterative tensor decomposition and masking procedure. We test ...
Detecting Anomalies in Time-Varying Networks Using ...
IEEE Computer Society
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由 A Sapienza 著作2015被引用 19 次 — Here we present an anomaly detection approach for temporal graph data, based on an iterative tensor decomposition and masking procedure. We test this approach ...
Detecting Anomalies in Time-Varying Networks ...
IEEE Xplore
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IEEE Xplore
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由 A Sapienza 著作2015被引用 19 次 — Here we present an anomaly detection approach for temporal graph data, based on an iterative tensor decomposi- tion and masking procedure. We test this approach ...
Detecting Anomalies in Time-varying Networks using Tensor ...
Ateneo - UPO
https://research.uniupo.it › fingerprints
Ateneo - UPO
https://research.uniupo.it › fingerprints
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Dive into the research topics of 'Detecting Anomalies in Time-varying Networks using Tensor Decomposition'. Together they form a unique fingerprint. Sort by ...
Network anomaly detection based on tensor decomposition
ScienceDirect.com
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由 A Streit 著作2021被引用 10 次 — The methodology is founded on tensor decomposition to detect and diagnose anomalous events using multivariate time-series resulting from the data obtained from ...
Detecting Anomalies in Time-Varying Media Crime News Using ...
ResearchGate
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In the present work, the Tensor decomposition is used to detect an unusual amount of crime news. To achieve this goal, two rejection criterion techniques were ...
Detecting Anomalies in Time-Varying Media Crime News Using ...
Semantic Scholar
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Semantic Scholar
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In the present work, the Tensor decomposition is used to detect an unusual amount of crime news as a proxy of unusual crime activity.
Tensor decomposition techniques for analysing time-varying ...
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In the next sections, we propose and anomaly detection method with the aim of identifying anomalous correlated activity patterns in time-varying networks.
Network Anomaly Detection based on Tensor Decomposition
National Science Foundation (.gov)
https://par.nsf.gov › servlets › purl
National Science Foundation (.gov)
https://par.nsf.gov › servlets › purl
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由 ES e Silva 著作2020被引用 1 次 — The methodology is based on tensor decomposition to detect and diagnose anomalous events using multivariate time series. We evaluate the approach using time ...