Machine learning and knowledge discovery in databases: European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI
Gespeichert in:
Körperschaft: | |
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Weitere Verfasser: | , , , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham, Switzerland
Springer
[2023]
|
Schriftenreihe: | Lecture notes in computer science
13718 |
Schlagworte: | |
Online-Zugang: | BFB01 BTU01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FNU01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UEI01 UER01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (xlvii, 669 Seiten) 205 Illustrationen, 191 in Farbe |
ISBN: | 9783031264221 |
ISSN: | 2945-9141 |
DOI: | 10.1007/978-3-031-26422-1 |
Internformat
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Datensatz im Suchindex
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author2 | Amini, Massih-Reza Canu, Stéphane Fischer, Asja Guns, Tias Kralj Novak, Petra Tsoumakas, Grigorios |
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author_facet | Amini, Massih-Reza Canu, Stéphane Fischer, Asja Guns, Tias Kralj Novak, Petra Tsoumakas, Grigorios European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Grenoble |
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discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-3-031-26422-1 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift 2022 Grenoble gnd-content |
genre_facet | Konferenzschrift 2022 Grenoble |
id | DE-604.BV048885487 |
illustrated | Not Illustrated |
index_date | 2024-07-03T21:47:14Z |
indexdate | 2024-08-01T11:00:01Z |
institution | BVB |
institution_GND | (DE-588)128093316X |
isbn | 9783031264221 |
issn | 2945-9141 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034150131 |
oclc_num | 1376408962 |
open_access_boolean | |
owner | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
owner_facet | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
physical | 1 Online-Ressource (xlvii, 669 Seiten) 205 Illustrationen, 191 in Farbe |
psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2023 ZDB-2-LNC_2023 ZDB-2-LNC ZDB-2-LNC_2023 |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Springer |
record_format | marc |
series | Lecture notes in computer science |
series2 | Lecture notes in computer science Lecture notes in artificial intelligence |
spellingShingle | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI Lecture notes in computer science Artificial Intelligence Computing Milieux Computer Engineering and Networks Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering Computer Application in Social and Behavioral Sciences Artificial intelligence Computers Computer engineering Computer networks Image processing—Digital techniques Computer vision Software engineering Social sciences—Data processing |
subject_GND | (DE-588)1071861417 |
title | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI |
title_auth | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI |
title_exact_search | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI |
title_exact_search_txtP | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI |
title_full | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors |
title_fullStr | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors |
title_full_unstemmed | Machine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors |
title_short | Machine learning and knowledge discovery in databases |
title_sort | machine learning and knowledge discovery in databases european conference ecml pkdd 2022 grenoble france september 19 23 2022 proceedings part vi |
title_sub | European conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, proceedings, part VI |
topic | Artificial Intelligence Computing Milieux Computer Engineering and Networks Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering Computer Application in Social and Behavioral Sciences Artificial intelligence Computers Computer engineering Computer networks Image processing—Digital techniques Computer vision Software engineering Social sciences—Data processing |
topic_facet | Artificial Intelligence Computing Milieux Computer Engineering and Networks Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering Computer Application in Social and Behavioral Sciences Artificial intelligence Computers Computer engineering Computer networks Image processing—Digital techniques Computer vision Software engineering Social sciences—Data processing Konferenzschrift 2022 Grenoble |
url | https://doi.org/10.1007/978-3-031-26422-1 |
volume_link | (DE-604)BV014880109 |
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