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Abstract: The increasing availability of unlabeled data in real-world scenarios creates challenges for traditional supervised learning methods that rely heavily on labeled datasets. This work proposes ...

Abstract: Stream data from real-time distributed systems such as IoT, tele-health, and crowdsourcing has become an important data source. However, the collection and analysis of usergenerated stream ...