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A Framework for Extracting Reliable Information from Unstructured Uncertain Big Data

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Intelligent Decision Technologies 2016

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 57))

Abstract

Big Data is still in its initial stages and has prompted various basic issues and difficulties to rise, for example, the pace of exchange, information development, and assorted qualities of information and security issues. For example, overseeing and abusing immense measures of information make it more valuable and important has turned into a test driving basic learning for choice making and in picking up an understanding into the general circumstance. Huge information has gotten phenomenal consideration from open and private sectors and in addition from the educated community around the world. In advertising, enormous information is utilized to comprehend the practices and actives of clients. In the experimental fields, huge information can be misused by aiding and taking care of the issues confronting the investigative fields extending from nanotechnology to climatology to geophysics. In the field of law requirement, social administrations and country security, enormous information has exhibited its handiness for government organizations to bolster in their choice making.

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Author information

Authors and Affiliations

  1. Dell Services, Dublin, Ireland

    Sanjay Kumar Singh

  2. Adapt Centre, Dublin City University, Dublin, Ireland

    Neel Mani

  3. Big Data Labs, Hamburg, Germany

    Bharat Singh

Authors
  1. Sanjay Kumar Singh
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  2. Neel Mani
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  3. Bharat Singh
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Corresponding author

Correspondence to Sanjay Kumar Singh .

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  2. Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain

    Alfonso Mateos Caballero

  3. KES International, Shoreham-by-sea, UK

    Robert J. Howlett

  4. University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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Singh, S.K., Mani, N., Singh, B. (2016). A Framework for Extracting Reliable Information from Unstructured Uncertain Big Data. In: Czarnowski, I., Caballero, A.M., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies 2016. Smart Innovation, Systems and Technologies, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-39627-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-39627-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39626-2

  • Online ISBN: 978-3-319-39627-9

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