Autonomous anomaly detection for streaming data
Anomaly detection from data streams is a hotly studied topic in the machine learning domain. It is widely considered a challenging task because the underlying patterns exhibited by the streaming data may dynamically change at any time. In this paper, a new algorithm is proposed to detect anomalies a...
| Published in: | Knowledge-Based Systems |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178997887&doi=10.1016%2fj.knosys.2023.111235&partnerID=40&md5=66f0acd2d0fdb446021eb5e1d4bab41f |