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Mode tracking using multiple data streams
Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-2973-3112
Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
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2018 (English)In: Information Fusion, ISSN 1566-2535, E-ISSN 1872-6305, Vol. 43, p. 33-46Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 43, p. 33-46
Keywords [en]
Mode tracking, Clustering, Data streams, Time series, Knowledge discovery
National Category
Computer and Information Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
URN: urn:nbn:se:his:diva-14645DOI: 10.1016/j.inffus.2017.11.011ISI: 000430032000004Scopus ID: 2-s2.0-85037072003OAI: oai:DiVA.org:his-14645DiVA, id: diva2:1172479
Projects
BIDAF A Big Data Analytics Framework for a Smart Society
Funder
Knowledge FoundationAvailable from: 2018-01-10 Created: 2018-01-10 Last updated: 2018-06-11Bibliographically approved

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Karlsson, Alexander

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