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Mining techniques in big data systems

Borisov Alexander Vasil'yevich  (Bauman Moscow State Technical University)

The paper discusses statement of the problem, the urgency of the research and the main features of Big Data which complicating the process of it analysis by traditional methods. The paper explains the reasons for the growing popularity of mining methods. The article gives some methods of intellectual analysis and described algorithms of these methods. For each method gives the features that allow to achieve effective scaling algorithms and their efficiency at working with Big Data.

Keywords:Big Data, An intellectual analysis, Multivariate analysis, Regression, Classification, Association.
 

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Citation link:
Borisov A. V. Mining techniques in big data systems // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2016. -№03. -С. 23-24
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