Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 13 SI
Page No. 10802 - 10806

Comparative Analysis of Machine Learning Techniques, Clustering Algorithms Impact in Internet of Things

Authors : Ahmed Burhan Mohammed and Ahmad Abdullah Mohammed AL-Mafrji

References

Alam, F., R. Mehmood, I. Katib and A. Albeshri, 2016. Analysis of eight data mining algorithms for smarter Internet of Things (IoT). Procedia Comput. Sci., 98: 437-442.
CrossRef  |  Direct Link  |  

Anonymous, 2016. Industrial internet of things data Demand/Response (DR) data for IoT analytics. Kaggle, San Francisco, California, USA.

Banerjee, M., J. Lee and K.K.R. Choo, 2017. A blockchain future for internet of things security: A position paper. Digital Commun. Networks, 4: 149-160.
CrossRef  |  Direct Link  |  

Borthakur, D., H. Dubey, N. Constant, L. Mahler and K. Mankodiya, 2017. Smart fog: Fog computing framework for unsupervised clustering analytics in wearable internet of things. Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 14-16, 2017, IEEE, Montreal, Canada, ISBN:978-1-5090-5991-1, pp: 472-476.

Chen, F., P. Deng, J. Wan, D. Zhang and A.V. Vasilakos et al., 2015. Data mining for the internet of things: Literature review and challenges. Intl. J. Distrib. Sens. Networks, 2015: 1-14.
CrossRef  |  Direct Link  |  

Hahn, J., 2018. The bibliotelemetry of Information and environment: An E valuation of IoT-powered recommender systems. Digital Libraries, 1: 1-10.
Direct Link  |  

Khoda, A., 2017. A survey on various techniques in internet of things (IoT) implementation: A comparative study. Intl. J. Future Revolution Comput. Sci. Commun. Eng., 3: 259-264.
Direct Link  |  

Marjani, M., F. Nasaruddin, A. Gani, A. Karim and I.A.T. Hashem et al., 2017. Big IoT data analytics: Architecture, opportunities and open research challenges. IEEE. Access, 5: 5247-5261.
CrossRef  |  Direct Link  |  

Meidan, Y., M. Bohadana, A. Shabtai, M. Ochoa and N.O. Tippenhauer et al., 2017. Detection of unauthorized iot devices using machine learning techniques. Cryptography Secur., 1: 1-13.
Direct Link  |  

Moon, A., J. Kim, J. Zhang, H. Liu and S.W. Son, 2017. Understanding the impact of lossy compressions on IoT smart farm analytics. Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), December, 11-14, 2017, IEEE, Boston, Massachusetts, ISBN:978-1-5386-2716-7, pp: 4602-4611.

Neureiter, C., M. Uslar, D. Engel and G. Lastro, 2016. A standards-based approach for domain specific modelling of smart grid system architectures. Proceedings of the 2016 11th Conference on System of Systems Engineering (SoSE), June 12-16, 2016, IEEE, Kongsberg, Norway, ISBN:978-1-4673-8728-6, pp: 1-6.

Onuki, Y., A. Kosugi, M. Hamaguchi, Y. Marumo and S. Kumada et al., 2018. A comparative study of disintegration actions of various disintegrants using Kohonen's self-organizing maps. J. Drug Delivery Sci. Technol., 43: 141-148.
CrossRef  |  Direct Link  |  

Ray, P.P., 2016. A survey on internet of things architectures. J. King Saud Univ. Comput. Inf. Sci., 30: 219-319.
CrossRef  |  Direct Link  |  

Thangaraju, G., J. Umarani and V. Poongodi, 2017. Comparative study of clustering algorithms: Filtered clustering and K-means cluttering algorithm using WEKA. Intl. J. Innovative Res. Comput. Commun. Eng., 5: 15115-15124.
CrossRef  |  Direct Link  |  

Wei, M., S.H. Hong and M. Alam, 2016. An IoT-based energy-management platform for industrial facilities. Appl. Energy, 164: 607-619.
Direct Link  |  

Xiao, L., X. Wan, X. Lu, Y. Zhang and D. Wu, 2018. IoT security techniques based on machine learning. Cryptography Secur., 1: 1-20.
Direct Link  |  

Yerpude, S. and T.K. Singhal, 2017. Internet of things and its impact on business analytics. Indian J. Sci. Tech., 10: 1-6.
CrossRef  |  

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