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Big Data Inconsistencies: A Literature Review

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 23))

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Abstract

This article presents an overview of data inconsistencies and a review of approaches to resolve various levels of data inconsistencies. It provides a discussion of the approaches, which motivates a Bayesian Network approach in inconsistency resolution.

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Author information

Authors and Affiliations

  1. Department of Computing and Maths, University of Derby, Derby, UK

    Olayinka Johnny

  2. Department of Computer Science, Edge Hill University, Ormskirk, UK

    Marcello Trovati

Authors
  1. Olayinka Johnny
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  2. Marcello Trovati
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Corresponding author

Correspondence to Marcello Trovati .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Fukuoka-ken, Japan

    Leonard Barolli

  3. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Michal Greguš

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Johnny, O., Trovati, M. (2019). Big Data Inconsistencies: A Literature Review. In: Xhafa, F., Barolli, L., Greguš, M. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-98557-2_45

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