Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers
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Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer Nature Switzerland
2024
Cham Springer |
Ausgabe: | 1st ed. 2024 |
Schriftenreihe: | Lecture Notes in Business Information Processing
503 |
Schlagworte: | |
Online-Zugang: | DE-522 DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext |
Beschreibung: | 1 Online-Ressource (XXIV, 514 p. 181 illus., 127 illus. in color) |
ISBN: | 9783031561078 |
ISSN: | 1865-1356 |
DOI: | 10.1007/978-3-031-56107-8 |
Internformat
MARC
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Datensatz im Suchindex
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author2 | De Smedt, Johannes Soffer, Pnina |
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discipline | Informatik |
doi_str_mv | 10.1007/978-3-031-56107-8 |
edition | 1st ed. 2024 |
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genre | (DE-588)1071861417 Konferenzschrift 2023 Rom gnd-content |
genre_facet | Konferenzschrift 2023 Rom |
id | DE-604.BV049673555 |
illustrated | Not Illustrated |
indexdate | 2025-01-11T04:02:13Z |
institution | BVB |
isbn | 9783031561078 |
issn | 1865-1356 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035016502 |
oclc_num | 1437842995 |
open_access_boolean | |
owner | DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 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-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 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 (XXIV, 514 p. 181 illus., 127 illus. in color) |
psigel | ZDB-2-SCS ZDB-2-LNB ZDB-2-SCS_2024 ZDB-2-LNB_2024 |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Springer Nature Switzerland Springer |
record_format | marc |
series2 | Lecture Notes in Business Information Processing |
spellingShingle | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology / Management Machine learning Medical informatics Data Mining (DE-588)4428654-5 gnd |
subject_GND | (DE-588)4428654-5 (DE-588)1071861417 |
title | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers |
title_auth | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers |
title_exact_search | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers |
title_full | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers edited by Johannes De Smedt, Pnina Soffer |
title_fullStr | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers edited by Johannes De Smedt, Pnina Soffer |
title_full_unstemmed | Process Mining Workshops ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers edited by Johannes De Smedt, Pnina Soffer |
title_short | Process Mining Workshops |
title_sort | process mining workshops icpm 2023 international workshops rome italy october 23 27 2023 revised selected papers |
title_sub | ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers |
topic | Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology / Management Machine learning Medical informatics Data Mining (DE-588)4428654-5 gnd |
topic_facet | Data Mining and Knowledge Discovery Business Process Management Machine Learning Computer Application in Administrative Data Processing Health Informatics Data mining Information technology / Management Machine learning Medical informatics Data Mining Konferenzschrift 2023 Rom |
url | https://doi.org/10.1007/978-3-031-56107-8 |
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