A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multivariate clustering-based anomaly detection
A multivariate clustering-based anomaly detector can generate an event for consumption by an APM manager that indicates detection of an anomaly based on multivariate clustering analysis after topology-based feature selection. The anomaly detector accumulates time-series data across a series of time instants to form a multivariate time-series data slice or multivariate data slice. The anomaly detector then performs multivariate clustering analysis with the multivariate data slice. The anomaly detector determines whether a multivariate data slice is within a cluster of multivariate data slices. If the multivariate data slice is within the cluster and the cluster is a known anomaly cluster, then the anomaly detector generates an anomaly detection event indicating detection of the known anomaly. The anomaly detector can also determine that a multivariate data slice is within an unknown cluster and generate an event indicating detection of an unknown anomaly.
Multivariate clustering-based anomaly detection
A multivariate clustering-based anomaly detector can generate an event for consumption by an APM manager that indicates detection of an anomaly based on multivariate clustering analysis after topology-based feature selection. The anomaly detector accumulates time-series data across a series of time instants to form a multivariate time-series data slice or multivariate data slice. The anomaly detector then performs multivariate clustering analysis with the multivariate data slice. The anomaly detector determines whether a multivariate data slice is within a cluster of multivariate data slices. If the multivariate data slice is within the cluster and the cluster is a known anomaly cluster, then the anomaly detector generates an anomaly detection event indicating detection of the known anomaly. The anomaly detector can also determine that a multivariate data slice is within an unknown cluster and generate an event indicating detection of an unknown anomaly.
Multivariate clustering-based anomaly detection
GUPTA SMRATI (author) / GIRAL ERHAN (author) / SANCHEZ CHARLES DAVID (author) / MUNTÉS-MULERO VICTOR (author)
2021-06-15
Patent
Electronic Resource
English
IPC:
G06K
Erkennen von Daten
,
RECOGNITION OF DATA
/
A47G
Haushalt- oder Tafelausstattung
,
HOUSEHOLD OR TABLE EQUIPMENT
/
E06B
Feste oder bewegliche Abschlüsse für Öffnungen in Bauwerken, Fahrzeugen, Zäunen oder ähnlichen Einfriedungen allgemein, z.B. Türen, Fenster, Läden, Tore
,
FIXED OR MOVABLE CLOSURES FOR OPENINGS IN BUILDINGS, VEHICLES, FENCES, OR LIKE ENCLOSURES, IN GENERAL, e.g. DOORS, WINDOWS, BLINDS, GATES
Clustering and Support Vector Regression for Water Demand Forecasting and Anomaly Detection
| DOAJ | 2017
Differential Entropic Clustering of Multivariate Gaussians
| British Library Conference Proceedings | 2007
Multivariate Trajectory Clustering for False Positive Reduction in Online Event Detection
| British Library Online Contents | 2013
Multivariate Trajectory Clustering for False Positive Reduction in Online Event Detection
| Online Contents | 2013