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dc.contributor.author
Badanidiyuru, Ashwinkumar
dc.contributor.author
Mirzasoleiman, Baharan
dc.contributor.author
Karbasi, Amin
dc.date.accessioned
2017-06-11T13:27:33Z
dc.date.available
2017-06-11T13:27:33Z
dc.date.issued
2014
dc.identifier.isbn
978-1-4503-2956-9
dc.identifier.other
10.1145/2623330.2623637
dc.identifier.uri
http://hdl.handle.net/20.500.11850/91738
dc.language.iso
en
dc.publisher
Association for Computing Machinery
dc.subject
Submodular functions
dc.subject
Streaming algorithms
dc.title
Streaming Submodular Maximization
dc.type
Conference Paper
ethz.title.subtitle
Massive Data Summarization on the Fly
ethz.book.title
KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
ethz.pages.start
671
ethz.pages.end
680
ethz.event
20th ACM SIGKDD international conference on Knowledge discovery and data mining
ethz.event.location
New York, NY, USA
ethz.event.date
August 24–27, 2014
ethz.identifier.nebis
010268284
ethz.publication.place
New York
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
ethz.date.deposited
2017-06-11T13:28:09Z
ethz.source
ECIT
ethz.identifier.importid
imp5936527a166de45381
ethz.ecitpid
pub:144276
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-18T13:28:17Z
ethz.rosetta.lastUpdated
2018-11-02T16:34:37Z
ethz.rosetta.versionExported
true
ethz.COinS
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