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International Transaction of Electrical and Computer Engineers System. 2017, 4(2), 55-61
DOI: 10.12691/iteces-4-2-2
Open AccessReview Article

Data Mining, Machine Learning and Big Data Analytics

Lidong Wang1,

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

Pub. Date: July 24, 2017

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

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.

Keywords:
big data Big Data analytics data mining machine learning deep learning information technology data engineering

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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