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Investigation of Machine Learning Analytic-Based Data Classification Frameworks on Iot-Based Infrastructures

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  • Dr. Badru Rahmon. A.

    (Department of Computer Science., Lead City University, Ibadan)

  • Adekoya Damola Felix

    (Department of Computer Science., Lead City University, Ibadan)

  • Peter-Ilesanmi Folasade Victoria

    (Department of Computer Science., Lead City University, Ibadan)

Abstract

The Internet of Things revolutionizes and enables convenient, automated lifestyles for people today. Over the past ten years, advances in computer, connectivity, and application design have led to its development. The Internet of Things has quickly spread around the world, impacting every person on the planet. Everyday IoT devices, such as smartphones, Google Home assistants, smart vehicles, and automated systems in buildings, including smart elevators and temperature control, as well as drones for environmental monitoring and leisure, play crucial roles in our daily lives. Therefore, the purpose of this research is to explore data classification frameworks based on machine learning analytics in Internet of Things-based infrastructures.

Suggested Citation

  • Dr. Badru Rahmon. A. & Adekoya Damola Felix & Peter-Ilesanmi Folasade Victoria, 2024. "Investigation of Machine Learning Analytic-Based Data Classification Frameworks on Iot-Based Infrastructures," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(2), pages 17-30, February.
    • Handle: RePEc:bjc:journl:v:11:y:2024:i:2:p:17-30
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