Adaptive Approaches to Mitigating Extreme Verification Latency in Dynamic Environments: A Research Meta-Analysis

Existing Data Stream Mining algorithms assume the availability of labelled and balanced data streams. However, in many real-world applications such as Robotics, Weather Monitoring, Internet of Things Fraud-Detection systems, Cybersecurity, Human Activity Recognition, etc., a vast amount of high-spee...

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Bibliografske podrobnosti

Principais autores:	Mobin M. Idrees, Frederic Stahl, Atta Badii
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2026-01-01
Serija:	IEEE Access
Teme:	Concept drift data stream mining extreme verification latency non-stationary environments semi-supervised learning
Online dostop:	https://ieeexplore.ieee.org/document/11558252/
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