Sept. 19, 2022, 1:12 a.m. | Li Yang, Abdallah Shami

cs.LG updates on arXiv.org arxiv.org

With the wide spread of sensors and smart devices in recent years, the data
generation speed of the Internet of Things (IoT) systems has increased
dramatically. In IoT systems, massive volumes of data must be processed,
transformed, and analyzed on a frequent basis to enable various IoT services
and functionalities. Machine Learning (ML) approaches have shown their capacity
for IoT data analytics. However, applying ML models to IoT data analytics tasks
still faces many difficulties and challenges, specifically, effective model …

analytics arxiv automated machine learning data data analytics environments iot machine machine learning perspective

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