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Big Data Applications

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Big Data

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Abstract

In the previous chapter, we examined big data analysis, which is the final and most important phase of the value chain of big data. Big data analysis can provide useful values via judgments, recommendations, supports, or decisions. However, data analysis involves a wide range of applications, which frequently change and are extremely complex. In this chapter, the evolution of data sources is reviewed. Then, six of the most important data analysis fields are examined, including structured data analysis, text analysis, website analysis, multimedia analysis, network analysis, and mobile analysis. This chapter is concluded with a discussion of several key application fields of big data.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Min Chen & Yin Zhang

  2. Auburn University, Auburn, AL, USA

    Shiwen Mao

  3. Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Victor C. M. Leung

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  1. Min Chen
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  2. Shiwen Mao
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  3. Yin Zhang
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  4. Victor C. M. Leung
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Chen, M., Mao, S., Zhang, Y., Leung, V.C.M. (2014). Big Data Applications. In: Big Data. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-06245-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-06245-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06244-0

  • Online ISBN: 978-3-319-06245-7

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