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Provenance and Privacy
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
Department of Information and Communication Engineering, Universitat Autònoma de Barcelona, Barcelona, Spain.
CA Technologies, Barcelona, Spain.ORCID iD: 0000-0002-3095-8274
CA Technologies, Barcelona, Spain.
2017 (English)In: Modeling Decisions for Artificial Intelligence: 14th International Conference, MDAI 2017 Kitakyushu, Japan, October 18–20, 2017 Proceedings / [ed] Torra V., Narukawa Y., Honda A., Inoue S., Springer, 2017, p. 3-11Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an overview of current needs on data provenance and data privacy, and discusses state-of-the-art results in this area. The paper highlights the difficulties that we need to face and finishes with some lines that require further work.

Place, publisher, year, edition, pages
Springer, 2017. p. 3-11
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, E-ISSN 1611-3349 ; 10571
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science; INF303 Information Security
Identifiers
URN: urn:nbn:se:his:diva-16195DOI: 10.1007/978-3-319-67422-3_1ISI: 000439934200001Scopus ID: 2-s2.0-85030148368ISBN: 978-3-319-67422-3 (electronic)ISBN: 978-3-319-67421-6 (print)OAI: oai:DiVA.org:his-16195DiVA, id: diva2:1247668
Conference
14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Kitakyushu, Japan, October 18-20, 2017.
Available from: 2018-09-12 Created: 2018-09-12 Last updated: 2018-11-26Bibliographically approved

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Torra, Vicenç

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
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  • de-DE
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  • Other locale
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Output format
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