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Special issue on data mining and data privacy
Umeå University, Faculty of Science and Technology, Department of Computing Science. Hamilton Institute, Maynooth University, Maynooth, Ireland.ORCID iD: 0000-0002-0368-8037
Tamagawa University, Tokyo, Japan.
2023 (English)In: Journal of Ambient Intelligence and Humanized Computing, ISSN 1868-5137, E-ISSN 1868-5145, Vol. 14, p. 14977-14978Article in journal, Editorial material (Other academic) Published
Abstract [en]

This special issue encompasses fourteen papers that focus on different aspects related to data science. This ranges from supervised and unsupervised machine learning algorithms to extract knowledge from data, to data protection procedures to ensure that the knowledge extracted is privacy-preserving.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 14, p. 14977-14978
National Category
Computer Sciences
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URN: urn:nbn:se:umu:diva-217881DOI: 10.1007/s12652-023-04699-2Scopus ID: 2-s2.0-85171434069OAI: oai:DiVA.org:umu-217881DiVA, id: diva2:1818866
Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2024-05-08Bibliographically approved

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Torra, Vicenç

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