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Big Data: Who, What and Where? Social, Cognitive and Journals Map of Big Data Publications with Focus on Optimization

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Big Data Optimization: Recent Developments and Challenges

Part of the book series: Studies in Big Data ((SBD,volume 18))

Abstract

Contemporary research in various disciplines from social science to computer science, mathematics and physics, is characterized by the availability of large amounts of data. These large amounts of data present various challenges, one of the most intriguing of which deals with knowledge discovery and large-scale data-mining. This chapter investigates the research areas that are the most influenced by big data availability, and on which aspects of large data handling different scientific communities are working. We employ scientometric mapping techniques to identify who works on what in the area of big data and large scale optimization problems.

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Author information

Authors and Affiliations

  1. Aston Business School, Aston University, Birmingham, UK

    Ali Emrouznejad

  2. Essex Business School, Essex University, Southend-on-Sea, UK

    Marianna Marra

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  1. Ali Emrouznejad
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Correspondence to Ali Emrouznejad .

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  1. Aston Business School, Aston University, Birmingham, United Kingdom

    Ali Emrouznejad

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Emrouznejad, A., Marra, M. (2016). Big Data: Who, What and Where? Social, Cognitive and Journals Map of Big Data Publications with Focus on Optimization. In: Emrouznejad, A. (eds) Big Data Optimization: Recent Developments and Challenges. Studies in Big Data, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-30265-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-30265-2_1

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  • Print ISBN: 978-3-319-30263-8

  • Online ISBN: 978-3-319-30265-2

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