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An online adaptive model for streaming anomal

Anomaly detectors are used to distinguish differences between normal and abnormal data, which are usually implemented by evaluating and ranking the anomaly scores of each instance. A static unsupervised streaming anomaly detector is difficult to dynamically adjust anomaly score calculation.
To solve the problem, a research team led by Prof. Zhiwen Yu published their new research on 15 April 2023 in Frontiers of Computer Science co-published by Higher Education Press and Springer Nature. ....

Zhiwen Yu , Zhi Hua Zhou , Method Of Research , Research Article , Higher Education , Excellent Young Scholars Forum , Computer Science , Higher Education Press , Nanjing University , Young Scholars ,