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

  1. Dr Naveen Kumar Gondhi, Ayushi Gupta, “Survey On Machine Learning Based Scheduling In Cloud Computing, ISMSI '17, March 25-27, 2017, Hong Kong, Hong Kong © 2017 ACM. ISBN 978-1-4503-4798-3/17/0
  2. Sadegh Bafandeh Imandoust ,Mohammad Bolandraftar “Application of K-Nearest Neighbor (KNN) Approach for Predicting Economic Events: Theoretical Background, S B Imandoust et al. Int. Journal of Engineering Research and Applications Vol. 3, Issue 5, Sep-Oct 2013, pp.605-610
  3. Chih-Chia Yao, Pao-Ta Yu “Effective Training Of Support Vector Machines Usingextractive Support Vector Algorithm, 1-4244-0973-X/07/$25.00 ©2007 Ieee
  4. Yue Xu” Recent Machine Learning Applications to Internet of Things (IoT) , `jain/cse570-15/ftp/iot –ml/index.html
  5. Wen-Tsai Sung , Yen-Chun Chiang” Improved Particle Swarm Optimization Algorithm for Android Medical Care IOT using Modified Parameters, Received: 3 February 2012 / Accepted: 19 March 2012 / Published online: 11 April 2012#Springer Science+Business Media, LLC 2012
  6. DanDan Cui, Fei Liu “The Application of BP Neural Network in Internetof Things, Advanced Engineering Forum Vols 6-7 (2012) pp 1098-1102 (2012) Trans Tech Publications, Switzerlanddoi:10.4028/
  7. AlexanderTeske, RafaelFalcon, AmiyaNayak” Ef?cient detection of faulty nodes with cuckoo search indiagnosable systems
  8. Bimlendu shahi,Sujata Dahal,Abhinav Mishra Vinay Kumar.S.B,Prasanna kumar.C “A review over Genetic Algorithm And application of wireless Network systems,International C onference on Information Security &privacy(icisp2015),11-12 december 2015,Nagpur,INDIA
  9. Chao Cheng, Zhi-hong Qian” An IoT Ant Colony Foraging Routing Algorithm Based on Markov Decision Model, International Conference on on Soft Computing in Information Communication Technology (SCICT 2014)
  10. Xin Tao, Chunlei Ji” Clustering Massive Small Data for IOT, 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)
  11. Ale Al- Fuqaha, Mehdi Mohammadi.” Semi-supervised Deep Reinforcement Learning Support of IoT and Smart City Services, IEEE INTERNET OF THINGS JOURNAL, VOL. X, NO. X, XXXXX 2017
  12. A. Carlisle, G. Dozier, An off-the-shelf PSO, in: Proceedings ofthe Workshop on Particle Swarm Optimization, Indianapolis, INPurdue School of Eng. Technol., IUPUI, April 2001.
  13. B. Schölkopf, A.J. Smola, Learning with kernels: Support vector machines, regularization, optimization,and beyond, Cambridge, Mass: MIT Press, London, 2002.
  14. Prajesh P Anchalia,Anjan K Koundinya,Srinath N K .MapReduce Design of K-means Clustering Algorithm. IEEE. 2013.

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.
Journal URL :

Article Preview