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dc.contributor.authorRudenko, Lena
dc.contributor.authorEndres, Markus
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-21T11:24:38Z
dc.date.available2017-06-21T11:24:38Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-660-2
dc.identifier.issn1617-5468
dc.description.abstractIn this paper we present our demo application which allows preference-based search for interesting information in a data stream. In contrast to existing stream analysis services, the applica- tion uses the attributes of the stream records in combination with soft conditions to achieve the best possible result for a query.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-266
dc.subjectStream analysis
dc.subjectpreferences
dc.subjectpersonalization
dc.titlePersonalized Stream Analysis with PreferenceSQLen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages181-184
mci.conference.sessiontitleWorkshop Präferenzen und Personalisierung in der Informatik (PPI17)
mci.conference.locationStuttgart
mci.conference.date6.-10. März 2017


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