A monitoring framework for transparency and fairness in big data platform-Reference-Cited by-同舟云学术

A monitoring framework for transparency and fairness in big data platform

Published:2021-06-04 Issue:23 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Aslaoui Mokhtari Karima¹,Benbernou Salima²^ORCID,Ouziri Mourad²^ORCID,Lahmar Hakim³^ORCID,Younas Muhammad⁴^ORCID

Affiliation:

1. Université d'Oran Oran Algeria

2. LIPADE Lab Université de Paris Paris France

3. FaradayIT Paris France

4. Oxford Brookes University Oxford UK

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6069

Reference19 articles.

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2. A privacy-preserving data aggregation scheme for dynamic groups in fog computing

3. SmallMBig data analytics–security and compliance challenges. Report in KuppingerCole Whitepaper 80072;2019.

4. A view-based monitoring for usage control in web services

5. Semantic‐based and entity‐resolution fusion to enhance quality of big RDF data;Benbernou S;IEEE Trans Big Data,2017

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