Publication Date:
2019
Description:
In this paper, we propose a novel machine-learning method for anomaly detection applicable to data with periodic characteristics where randomly varying period lengths are explicitly allowed. A multi-dimensiona...
Print ISSN:
1687-6172
Electronic ISSN:
1687-6180
Topics:
Electrical Engineering, Measurement and Control Technology
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