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Advances in data mining: applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings

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Bibliographic Details
Corporate Author:	ICDM New York, NY (Author)
Other Authors:	Perner, Petra 1958- (Editor)
Format:	Electronic Conference Proceedings eBook
Language:	English
Published:	Cham Springer [2018]
Series:	Lecture Notes in Computer Science 10933
Subjects:	Computer Science Data Mining and Knowledge Discovery Computer science Data mining Data Mining Electronic Commerce Konferenzschrift
Links:	https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9 https://doi.org/10.1007/978-3-319-95786-9
Physical Description:	1 Online-Ressource (X, 326 Seiten) Illustrationen, Diagramme
ISBN:	9783319957869
ISSN:	0302-9743
DOI:	10.1007/978-3-319-95786-9

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genre	(DE-588)1071861417 Konferenzschrift gnd-content
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institution	BVB
institution_GND	(DE-588)1164035487
isbn	9783319957869
issn	0302-9743
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030502194
oclc_num	1048194993
open_access_boolean
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physical	1 Online-Ressource (X, 326 Seiten) Illustrationen, Diagramme
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series	Lecture Notes in Computer Science
series2	Lecture Notes in Computer Science
spellingShingle	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings Lecture Notes in Computer Science Computer Science Data Mining and Knowledge Discovery Computer science Data mining Data Mining (DE-588)4428654-5 gnd Electronic Commerce (DE-588)4592128-3 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4592128-3 (DE-588)1071861417
title	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings
title_auth	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings
title_exact_search	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings
title_full	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings Petra Perner (Ed.)
title_fullStr	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings Petra Perner (Ed.)
title_full_unstemmed	Advances in data mining applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings Petra Perner (Ed.)
title_short	Advances in data mining
title_sort	advances in data mining applications and theoretical aspects 18th industrial conference icdm 2018 new york ny usa july 11 12 2018 proceedings
title_sub	applications and theoretical aspects : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018 : proceedings
topic	Computer Science Data Mining and Knowledge Discovery Computer science Data mining Data Mining (DE-588)4428654-5 gnd Electronic Commerce (DE-588)4592128-3 gnd
topic_facet	Computer Science Data Mining and Knowledge Discovery Computer science Data mining Data Mining Electronic Commerce Konferenzschrift
url	https://doi.org/10.1007/978-3-319-95786-9
volume_link	(DE-604)BV014880109
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