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cs.LG2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer +2
The current state of machine learning scholarship in Timeseries Anomaly Detection (TAD) is plagued by the persistent use of flawed evaluation metrics, inconsistent benchmarking pra…
cs.LG2020
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies
Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar +4
Cybersecurity has recently gained considerable interest in today's security issues because of the popularity of the Internet-of-Things (IoT), the considerable growth of mobile netw…