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International Congress on High-Performance Computing and Big Data Analysis

TopHPC 2019: High-Performance Computing and Big Data Analysis pp 71–83Cite as

Genome of Human-Enabled Big Data Analytics

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 891))

Abstract

Nowadays, we live in the big data era, the gigantic information resource that Organizations are so interested to analyze in order to know their customers better, provide better services and increase their income. Recently, after the emergence of crowdsourcing techniques, people are also involved in the process of big data analysis. Inclusion of human computing power, while helps improve the quality of the results, can raise serious challenges that needs deeper investigations. In this paper, we propose a genome for human-enabled big data analytics, to understand them better, and to study where and why people get involved in such systems. We then study the challenges that raise as the result of such an involvement and propose some future research directions.

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Notes

  1. 1.

    https://www.crowdflower.com/solutions/open-source-big-data-analytics.

  2. 2.

    imdb.com.

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Author information

Authors and Affiliations

  1. University of Zabol, Zabol, Iran

    Mohammad Allahbakhsh & Saeed Arbabi

  2. Ernst & Young AI Lab, Palo Alto, CA, USA

    Hamid-Reza Motahari-Nezhad

  3. The University of New South Wales, Sydney, Australia

    Mohammad Allahbakhsh & Boualem Benatallah

Authors
  1. Mohammad Allahbakhsh
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  2. Saeed Arbabi
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  3. Hamid-Reza Motahari-Nezhad
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  4. Boualem Benatallah
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Corresponding author

Correspondence to Mohammad Allahbakhsh .

Editor information

Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Lucio Grandinetti

  2. Kharazmi University, Tehran, Iran

    Seyedeh Leili Mirtaheri

  3. University of Calabria, Rende, Italy

    Reza Shahbazian

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Allahbakhsh, M., Arbabi, S., Motahari-Nezhad, HR., Benatallah, B. (2019). Genome of Human-Enabled Big Data Analytics. In: Grandinetti, L., Mirtaheri, S., Shahbazian, R. (eds) High-Performance Computing and Big Data Analysis. TopHPC 2019. Communications in Computer and Information Science, vol 891. Springer, Cham. https://doi.org/10.1007/978-3-030-33495-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-33495-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33494-9

  • Online ISBN: 978-3-030-33495-6

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