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Najafabadi MM, Villanustre F, Khoshgoftaar TM, Seliya N, Wald R, Muharemagic E. Deep learning applications and challenges in big data analytics. Journal of Big Data. 2015 Feb 24; 2(1):1.

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Article

Data Mining, Machine Learning and Big Data Analytics

1Department of Engineering Technology, Mississippi Valley State University, Itta Bena, MS, USA


International Transaction of Electrical and Computer Engineers System. 2017, Vol. 4 No. 2, 55-61
DOI: 10.12691/iteces-4-2-2
Copyright © 2017 Science and Education Publishing

Cite this paper:
Lidong Wang. Data Mining, Machine Learning and Big Data Analytics. International Transaction of Electrical and Computer Engineers System. 2017; 4(2):55-61. doi: 10.12691/iteces-4-2-2.

Correspondence to: Lidong  Wang, Department of Engineering Technology, Mississippi Valley State University, Itta Bena, MS, USA. Email: lwang22@students.tntech.edu

Abstract

This paper analyses deep learning and traditional data mining and machine learning methods; compares the advantages and disadvantage of the traditional methods; introduces enterprise needs, systems and data, IT challenges, and Big Data in an extended service infrastructure. The feasibility and challenges of the applications of deep learning and traditional data mining and machine learning methods in Big Data analytics are also analyzed and presented.

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