HIGHLIGHTS
- who: Lejla Begic Fazlic from the Environmental Campus Birkenfeld, Trier University of Applied Sciences, Schneidershof, Trier, Germany have published the paper: A Novel Hybrid Methodology for Anomaly Detection in Time Series, in the Journal: (JOURNAL)
- what: The focus of this work is to develop a hybrid method for detecting anomalies that occur for example in multidimensional medical signals sensor signals or other series in business and nature. The focus of this research was to detect an abnormal graph from the dynamic graph instead of trying to detect changes. To estimate how well the model has . . .
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