Learning from complex networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
München
2023
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Beschreibung: | xiv, 216 Seiten Illustrationen, Diagramme |
| DOI: | 10.5282/edoc.32636 |
Internformat
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Datensatz im Suchindex
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| institution | BVB |
| language | English |
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| physical | xiv, 216 Seiten Illustrationen, Diagramme |
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| spelling | Frey, Christian Maximilian Michael 1989- Verfasser (DE-588)1309396353 aut Learning from complex networks Christian Maximilian Michael Frey München 2023 xiv, 216 Seiten Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation München, Ludwig-Maximilians-Universität 2023 3\p Graphentheorie (DE-588)4113782-6 gnd 4\p Graph (DE-588)4021842-9 gnd 5\p Data Mining (DE-588)4428654-5 gnd 6\p Visualisierung (DE-588)4188417-6 gnd (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:19-326369 10.5282/edoc.32636 https://doi.org/10.5282/edoc.32636 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:19-326369 Resolving-System kostenfrei Volltext 1\p aepkn 0,95832 20231114 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p emasg 0,62988 20231114 DE-101 https://d-nb.info/provenance/plan#emasg 3\p emagnd 0,19747 20231114 DE-101 https://d-nb.info/provenance/plan#emagnd 4\p emagnd 0,16431 20231114 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,15763 20231114 DE-101 https://d-nb.info/provenance/plan#emagnd 6\p emagnd 0,07976 20231114 DE-101 https://d-nb.info/provenance/plan#emagnd |
| spellingShingle | Frey, Christian Maximilian Michael 1989- Learning from complex networks 3\p Graphentheorie (DE-588)4113782-6 gnd 4\p Graph (DE-588)4021842-9 gnd 5\p Data Mining (DE-588)4428654-5 gnd 6\p Visualisierung (DE-588)4188417-6 gnd |
| subject_GND | (DE-588)4113782-6 (DE-588)4021842-9 (DE-588)4428654-5 (DE-588)4188417-6 (DE-588)4113937-9 |
| title | Learning from complex networks |
| title_auth | Learning from complex networks |
| title_exact_search | Learning from complex networks |
| title_exact_search_txtP | Learning from complex networks |
| title_full | Learning from complex networks Christian Maximilian Michael Frey |
| title_fullStr | Learning from complex networks Christian Maximilian Michael Frey |
| title_full_unstemmed | Learning from complex networks Christian Maximilian Michael Frey |
| title_short | Learning from complex networks |
| title_sort | learning from complex networks |
| topic | 3\p Graphentheorie (DE-588)4113782-6 gnd 4\p Graph (DE-588)4021842-9 gnd 5\p Data Mining (DE-588)4428654-5 gnd 6\p Visualisierung (DE-588)4188417-6 gnd |
| topic_facet | Graphentheorie Graph Data Mining Visualisierung Hochschulschrift |
| url | https://doi.org/10.5282/edoc.32636 https://nbn-resolving.org/urn:nbn:de:bvb:19-326369 |
| work_keys_str_mv | AT freychristianmaximilianmichael learningfromcomplexnetworks |