Outlier Detection from Non-Smooth Sensor Data

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHuuhtanen, Timoen_US
dc.contributor.authorAmbos, Henriken_US
dc.contributor.authorJung, Alexen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentHelsinki Institute for Information Technology (HIIT)en_US
dc.date.accessioned2020-01-02T14:14:00Z
dc.date.available2020-01-02T14:14:00Z
dc.date.issued2019-09-05en_US
dc.description.abstractOutlier detection is usually based on smooth assumption of the data. Most existing approaches for outlier detection from spatial sensor data assume the data to be a smooth function of the location. Spatial discontinuities in the data, such as arising from shadows in photovoltaic (PV) systems, may cause outlier detection methods based on the spatial smoothness assumption to fail. In this paper, we propose novel approaches for outlier detection of non-smooth spatial data. The methods are evaluated by numerical experiments involving PV panel measurements as well as synthetic data.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.extent1-5
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHuuhtanen , T , Ambos , H & Jung , A 2019 , Outlier Detection from Non-Smooth Sensor Data . in EUSIPCO 2019 - 27th European Signal Processing Conference . European Signal Processing Conference , IEEE , pp. 1-5 , European Signal Processing Conference , Coruna , Spain , 02/09/2019 . https://doi.org/10.23919/EUSIPCO.2019.8903061en
dc.identifier.doi10.23919/EUSIPCO.2019.8903061en_US
dc.identifier.isbn9789082797039
dc.identifier.issn2219-5491
dc.identifier.otherPURE UUID: f8a52336-00cd-411f-81b5-97874df50fbcen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/f8a52336-00cd-411f-81b5-97874df50fbcen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/39140747/SCI_Huuhtanen_et.al_Oulier_Detection.PID5984929.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/42310
dc.identifier.urnURN:NBN:fi:aalto-202001021421
dc.language.isoenen
dc.publisherIEEE
dc.relation.ispartofEuropean Signal Processing Conferenceen
dc.relation.ispartofseriesEUSIPCO 2019 - 27th European Signal Processing Conferenceen
dc.relation.ispartofseriesEuropean Signal Processing Conferenceen
dc.rightsopenAccessen
dc.subject.keywordoutlier detectionen_US
dc.subject.keywordspatial signalsen_US
dc.titleOutlier Detection from Non-Smooth Sensor Dataen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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[article-cris] Perustieteiden korkeakoulu / SCI