Active feature acquisition for opinion stream classification under drift

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dc.identifier.uri http://dx.doi.org/10.15488/9818
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/9875
dc.contributor.author Shivakumaraswamy, Ranjith
dc.contributor.author Beyer, Christian
dc.contributor.author Unnikrishnan, Vishnu
dc.contributor.author Ntoutsi, Eirini
dc.contributor.author Spiliopoulou, Myra
dc.contributor.editor Kottke, Daniel
dc.contributor.editor Krempl, Georg
dc.contributor.editor Lemaire, Vincent
dc.contributor.editor Holzinger, Andreas
dc.contributor.editor Calma, Adrian
dc.date.accessioned 2020-05-18T09:16:27Z
dc.date.available 2020-05-18T09:16:27Z
dc.date.issued 2019
dc.identifier.citation Shivakumaraswamy, R.; Beyer, C.; Unnikrishnan, V.; Ntoutsi, E. ; Spiliopoulou, M.: Active feature acquisition for opinion stream classification under drift. In: Kottke, D.; Krempl, G.; Lemaire, V.; Holzinger, A.; Calma, A. (Eds.): Workshop & Tutorial on Interactive Adaptive Learning : IAL@ECML PKDD 2019 : the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). Aachen, Germany : RWTH Aachen, 2019 (CEUR workshop proceedings ; 2444), S. 108-111.
dc.description.abstract Active stream learning is frequently used to acquire labels for instances and less frequently to determine which features should be considered as the stream evolves. We introduce a framework for active feature selection, intended to adapt the feature space of a polarity learner over a stream of opinionated documents. We report on the first results of our framework on substreams of reviews on different product categories. eng
dc.language.iso eng
dc.publisher Aachen, Germany : RWTH Aachen
dc.relation.ispartof Workshop & Tutorial on Interactive Adaptive Learning : IAL@ECML PKDD 2019 : the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019)
dc.relation.ispartofseries CEUR workshop proceedings ; 2444
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Active Feature Acquisition eng
dc.subject Opinion Stream Classification eng
dc.subject Feature acquisition eng
dc.subject Feature space eng
dc.subject Product categories eng
dc.subject Stream classification eng
dc.subject Sub-streams eng
dc.subject Classification (of information) eng
dc.subject Konferenzschrift ger
dc.subject.ddc 004 | Informatik ger
dc.title Active feature acquisition for opinion stream classification under drift eng
dc.type BookPart
dc.type Text
dc.relation.issn 1613-0073
dc.bibliographicCitation.volume 2444
dc.bibliographicCitation.firstPage 108
dc.bibliographicCitation.lastPage 111
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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