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In-network detection of anomaly regions in sensor networks with obstacles

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dc.contributor.authorFranke, Conny
dc.contributor.authorKarnstedt, Marcel
dc.contributor.authorKlan, Daniel
dc.contributor.authorGertz, Michael
dc.contributor.authorSattler, Kai -Uwe
dc.contributor.authorKattanek, Wolfram
dc.contributor.editorFreytag, Johann-Christoph
dc.contributor.editorRuf, Thomas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2019-02-20T10:28:12Z
dc.date.available2019-02-20T10:28:12Z
dc.date.issued2009
dc.description.abstractIn the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An important task in processing streams of sensor data is the detection of anomaen
dc.identifier.isbn978-3-88579-238-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20458
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-144
dc.titleIn-network detection of anomaly regions in sensor networks with obstaclesen
dc.typeText/Conference Paper
gi.citation.endPage386
gi.citation.publisherPlaceBonn
gi.citation.startPage367
gi.conference.date2.-6. März 2009
gi.conference.locationMünster
gi.conference.sessiontitleRegular Research Papers

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P144 - BTW2009 - Datenbanksysteme in Business, Technologie und Web