Verfügbarkeit: Machine learning and knowledge discovery in databases

Machine learning and knowledge discovery in databases: applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV

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Bibliographische Detailangaben
Körperschaft:	ECML/PKDD Online (VerfasserIn)
Weitere beteiligte Personen:	Dong, Yuxiao (HerausgeberIn), Mladenić, Dunja (HerausgeberIn), Saunders, Craig (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer [2021]
Schriftenreihe:	Artificial intelligence 12460
Schlagwörter:	Data Mining and Knowledge Discovery Artificial Intelligence Computers and Education Computer Appl. in Social and Behavioral Sciences Image Processing and Computer Vision Data mining Artificial intelligence Education—Data processing Application software Optical data processing Data Mining Anwendungssoftware Maschinelles Sehen Maschinelles Lernen Konferenzschrift > 2020 > Online
Links:	https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4 https://doi.org/10.1007/978-3-030-67667-4
Umfang:	1 Online-Ressource Illustrationen, Diagramme
ISBN:	9783030676674
DOI:	10.1007/978-3-030-67667-4

Internformat

MARC


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genre	(DE-588)1071861417 Konferenzschrift 2020 Online gnd-content
genre_facet	Konferenzschrift 2020 Online
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illustrated	Illustrated
indexdate	2024-12-20T19:11:51Z
institution	BVB
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isbn	9783030676674
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-032580466
oclc_num	1241671544
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owner_facet	DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-188 DE-523 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-92 DE-861 DE-91 DE-BY-TUM DE-355 DE-BY-UBR
physical	1 Online-Ressource Illustrationen, Diagramme
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2021 ZDB-2-LNC_2021 ZDB-2-LNC ZDB-2-LNC_2021
publishDate	2021
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publisher	Springer
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series	Artificial intelligence
series2	Lecture notes in computer science Artificial intelligence
spellingShingle	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV Artificial intelligence Data Mining and Knowledge Discovery Artificial Intelligence Computers and Education Computer Appl. in Social and Behavioral Sciences Image Processing and Computer Vision Data mining Artificial intelligence Education—Data processing Application software Optical data processing Data Mining (DE-588)4428654-5 gnd Anwendungssoftware (DE-588)4120906-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4120906-0 (DE-588)4129594-8 (DE-588)4193754-5 (DE-588)1071861417
title	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV
title_auth	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV
title_exact_search	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV
title_full	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV Yuxiao Dong, Dunja Mladenić, Craig Saunders (eds.)
title_fullStr	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV Yuxiao Dong, Dunja Mladenić, Craig Saunders (eds.)
title_full_unstemmed	Machine learning and knowledge discovery in databases applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV Yuxiao Dong, Dunja Mladenić, Craig Saunders (eds.)
title_short	Machine learning and knowledge discovery in databases
title_sort	machine learning and knowledge discovery in databases applied data science track european conference ecml pkdd 2020 ghent belgium september 14 18 2020 proceedings part iv
title_sub	applied data science track : European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020 : proceedings, part IV
topic	Data Mining and Knowledge Discovery Artificial Intelligence Computers and Education Computer Appl. in Social and Behavioral Sciences Image Processing and Computer Vision Data mining Artificial intelligence Education—Data processing Application software Optical data processing Data Mining (DE-588)4428654-5 gnd Anwendungssoftware (DE-588)4120906-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Data Mining and Knowledge Discovery Artificial Intelligence Computers and Education Computer Appl. in Social and Behavioral Sciences Image Processing and Computer Vision Data mining Artificial intelligence Education—Data processing Application software Optical data processing Data Mining Anwendungssoftware Maschinelles Sehen Maschinelles Lernen Konferenzschrift 2020 Online
url	https://doi.org/10.1007/978-3-030-67667-4
volume_link	(DE-604)BV014880109
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