Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19

Publication DOI: https://doi.org/10.1007/s10796-021-10216-7
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10796-021-10216-7
Uncontrolled Keywords: Theoretical Computer Science,Software,Information Systems,Computer Networks and Communications
Publication ISSN: 1572-9419
Last Modified: 17 Jun 2024 08:05
Date Deposited: 06 Jun 2022 16:38
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://link.sp ... 796-021-10216-7 (Publisher URL)
PURE Output Type: Editorial
Published Date: 2021-12-01
Authors: Chang, Victor (ORCID Profile 0000-0002-8012-5852)
Goble, Carole
Ramachandran, Muthu
Deborah, Lazarus Jegatha
Behringer, Reinhold



Version: Accepted Version

License: ["licenses_description_other" not defined]

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