Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems
Crossref DOI link: https://doi.org/10.1007/s00778-021-00671-8
Published Online: 2021-05-05
Published Print: 2021-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Balayn, Agathe http://orcid.org/0000-0003-2725-5305
Lofi, Christoph
Houben, Geert-Jan
Text and Data Mining valid from 2021-05-05
Version of Record valid from 2021-05-05
Article History
Received: 21 September 2020
Revised: 23 February 2021
Accepted: 17 April 2021
First Online: 5 May 2021