Anomaly detection method based on data snapshot graphs
An anomaly detection and data technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of high computational complexity
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[0081] The present invention will be further described below in conjunction with the accompanying drawings.
[0082] Scheme principle description
[0083] In a wireless sensor network, the occurrence of an event must be reflected in the state change of sensor node monitoring data, and the inherent characteristics of the event will derive the specific data mode of the event. If abstract feature extraction is performed on the data to find out this data pattern, when the sensor network presents this data pattern again, the occurrence of corresponding events can be determined according to the similarity of the data pattern. The wireless sensor network is data-centric, and there is a strong temporal-spatial correlation between the data. If the data of a certain node at a certain moment is regarded as the vertex in the data graph, the temporal-spatial correlation between the data is regarded as the The edges in the graph can naturally use the graph model to describe the event chara...
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