Machine Learning Techniques in IoT

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

Internet of Things(IoT) is expanding expeditiously in different fields but has a tremendousimplementation 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 Homosapiens. And moreover 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 machinelearningintelligent algorithmslike artificial immune system algorithmBayesian theorem, Geneticalgorithm (GA), Swarm algorithm (SA), algorithm,Bayesian theorem, Reinforcementalgorithm, Ant colonyalgorithm, k-means algorithm and supportive vector machine algorithm and their role in internet of things.

Authors and Affiliations

Dr. Naveen Kumar Gondhi
Department of Computer Science and Engineering, SMVDU, Katra, Jammu and Kashmir, India
Rohini Raina
Department of Computer Science and Engineering, SMVDU, Katra, Jammu and Kashmir, India

IoT, Machine Learning, Encapsulated Intelligence.

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Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 288-292
Manuscript Number : CSEIT174434
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. Naveen Kumar Gondhi, Rohini Raina, "Machine Learning Techniques in IoT", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.288-292, September-2017.
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