Big Data Analysis

Min Chen,Shiwen Mao,Victor C M Leung,Yin Zhang

doi:10.1007/978-3-319-06245-7_5

Big Data Analysis

Min Chen, Shiwen Mao + Show 2 more

https://doi.org/10.1007/978-3-319-06245-7_5

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Publication Date: Jan 1, 2014

Citations: 14

Affiliation: Huazhong University of Science and Technology, Auburn University, University of British Columbia

#Value Chain Of Big Data #Tools For Big Data Analysis + Show 8 more

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Abstract

In this chapter, we introduce the methods, architectures and tools for big data analysis. The analysis of big data mainly involves analytical methods for traditional data and big data, analytical architecture for big data, and software used for mining and analysis of big data. Data analysis is the final and the most important phase in the value chain of big data, with the purpose of extracting useful values, providing suggestions or decisions. Different levels of potential values can be generated through the analysis of datasets in different fields.

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