Machine Learning Techniques in IoT

Authors(2) :-Rohini Raina, Dr. Naveen Kumar Gondhi

Internet of Things (IoT) is expanding expeditiously in different fields but has a tremendous implementation in the branch of savants and commence. Machine learning can also help machines; indulge them collectively to acknowledge them what people want from the data made by Homo sapiens. In addition, machine learning has an important role in IoT facet to hold the large extent of data generated by the machines. Machine learning gives internet of things and those machines a mind to think, which is called "encapsulated intelligence" by some researchers. This paper will mainly focus on machine learning intelligent algorithms like artificial immune system algorithm Bayesian theorem, Genetic algorithm (GA), Swarm algorithm (SA), algorithm, Bayesian theorem, Reinforcement algorithm, Ant colony algorithm, k-means algorithm and supportive vector machine algorithm and their role in internet of things.

Authors and Affiliations

Rohini Raina
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Reasi, Jammu & Kashmir, India
Dr. Naveen Kumar Gondhi
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Reasi, Jammu & Kashmir, India

Encapsulated Intelligence, IoT, Machine Learning

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 117-121
Manuscript Number : CSEIT411819
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Rohini Raina, Dr. Naveen Kumar Gondhi, "Machine Learning Techniques in IoT", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.117-121, March-April.2018
URL : http://ijsrcseit.com/CSEIT411819

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