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A Review of Datamining Techniques in Internet of Things

G. Saranya1 , M. Subashini2

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 177-180, Feb-2019

Online published on Feb 28, 2019

Copyright © G. Saranya, M. Subashini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: G. Saranya, M. Subashini, “A Review of Datamining Techniques in Internet of Things,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.177-180, 2019.

MLA Style Citation: G. Saranya, M. Subashini "A Review of Datamining Techniques in Internet of Things." International Journal of Computer Sciences and Engineering 07.04 (2019): 177-180.

APA Style Citation: G. Saranya, M. Subashini, (2019). A Review of Datamining Techniques in Internet of Things. International Journal of Computer Sciences and Engineering, 07(04), 177-180.

BibTex Style Citation:
@article{Saranya_2019,
author = {G. Saranya, M. Subashini},
title = {A Review of Datamining Techniques in Internet of Things},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {177-180},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=746},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=746
TI - A Review of Datamining Techniques in Internet of Things
T2 - International Journal of Computer Sciences and Engineering
AU - G. Saranya, M. Subashini
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 177-180
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

We are entering in a new era of computing technology i.e Internet of Things(IoT). IoT is a network in which all physical objects are connected to the internet through network devices or routers and exchange data. IoT allows objects to be controlled remotely across existing network infrastructure. This technique also has autonomous control feature by which any device can control without any human interaction. The enormous amount of data produced by IoT devices can be converted into knowledge using data mining techniques. Data mining will play important role in constructing smart system that provides convenient services. It is required to extract data and knowledge from the connected things. For this purpose, various data mining techniques are used. Various algorithms such as classification, clustering, association rule etc. helps to mine data. This paper represents the different Data mining techniques with IOT.

Key-Words / Index Term

Internet of Things, Data mining

References

[1] H. Jiawei, M. Kamber, Data mining: concepts and techniques, Morgan Kaufmann Publishers, 2011.
[2] Feng Chen, Pan Deng, Jiafu Wan, Daqiang Zhang, Athanasios V. Vasilakos, and XiaohuiRong, “Data Mining for the Internet of Things: Literature Review and Challenges”, Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, 2015.
[3] Shweta Bhatia, Sweety Patel, “Analysis on different Data mining Techniques and algorithms used in IOT”, International Journal of Engineering Research and Applications, November 2015.
[4] Chun-Wei Tsai, Chin-Feng Lai, Ming-Chao Chiang, And Laurence T. Yang, “Data Mining For Internet Of Things: A Survey”, Ieee Communications Surveys & Tutorials, Vol. 16, 2014.
[5] AsmitaGorave, VrushaliKulkarni, “Discrimination Aware Data Mining In Internet Of Things”, Ijca, 0975 – 8887, Volume 159, February 2017.
[6] KrushikaTapedia, AnuragManoharWagh, “Data Mining For Various Internets Of Things Applications”, Ijrat, E-Issn: 2321-9637, Ncpci-2016.
[7] S. Haller, S. Karnouskos, and C. Schroth, “The Internet of Things in an enterprise context,” Future Internet Systems (FIS), LCNS, vol. 5468. Springer, 2008, pp. 14-8.