Machine Learning for Networking: 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer Nature Switzerland
2023
Cham Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Lecture Notes in Computer Science
13767 |
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (X, 180 p. 91 illus., 59 illus. in color) |
| ISBN: | 9783031361838 |
| ISSN: | 1611-3349 |
| DOI: | 10.1007/978-3-031-36183-8 |
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| genre | (DE-588)1071861417 Konferenzschrift 2022 Paris gnd-content |
| genre_facet | Konferenzschrift 2022 Paris |
| id | DE-604.BV049082930 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:28:11Z |
| indexdate | 2025-02-20T07:15:32Z |
| institution | BVB |
| isbn | 9783031361838 |
| issn | 1611-3349 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034344812 |
| oclc_num | 1392150890 |
| 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 (X, 180 p. 91 illus., 59 illus. in color) |
| psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2023 ZDB-2-LNC_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Switzerland Springer |
| record_format | marc |
| series2 | Lecture Notes in Computer Science |
| spellingShingle | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers Data Mining and Knowledge Discovery Computer Communication Networks Computer and Information Systems Applications Data mining Computer networks Application software |
| subject_GND | (DE-588)1071861417 |
| title | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers |
| title_auth | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers |
| title_exact_search | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers |
| title_exact_search_txtP | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers |
| title_full | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers edited by Éric Renault, Paul Mühlethaler |
| title_fullStr | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers edited by Éric Renault, Paul Mühlethaler |
| title_full_unstemmed | Machine Learning for Networking 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers edited by Éric Renault, Paul Mühlethaler |
| title_short | Machine Learning for Networking |
| title_sort | machine learning for networking 5th international conference mln 2022 paris france november 28 30 2022 revised selected papers |
| title_sub | 5th International Conference, MLN 2022, Paris, France, November 28–30, 2022, Revised Selected Papers |
| topic | Data Mining and Knowledge Discovery Computer Communication Networks Computer and Information Systems Applications Data mining Computer networks Application software |
| topic_facet | Data Mining and Knowledge Discovery Computer Communication Networks Computer and Information Systems Applications Data mining Computer networks Application software Konferenzschrift 2022 Paris |
| url | https://doi.org/10.1007/978-3-031-36183-8 |
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