• DOI:10.1016/j.dcan.2017.10.002
Corpus ID: 2666574

Machine learning for Internet of Things data analysis: A survey

@article{Mahdavinejad2018MachineLF,
  title={Machine learning for Internet of Things data analysis: A survey},
  author={Mohammad Saeid Mahdavinejad and M. Rezvan and M. Barekatain and P. Adibi and P. Barnaghi and A. Sheth},
  journal={ArXiv},
  year={2018},
  volume={abs/1802.06305}
}

Mohammad Saeid Mahdavinejad, M. Rezvan, +3 authors A. Sheth

Published 2018

Computer Science

ArXiv

Rapid developments in hardware, software, and communication technologies have allowed the emergence of Internet-connected sensory devices that provide observation and data measurement from the physical world. By 2020, it is estimated that the total number of Internet-connected devices being used will be between 25 and 50 billion. As the numbers grow and technologies become more mature, the volume of data published will increase. Internet-connected devices technology, referred to as Internet of… CONTINUE READING

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