Discovery and explainability of fine-grained structures in large-scale user-generated data sets:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Augsburg
2023
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Beschreibung: | xix, 268 Seiten Illustrationen, Diagramme |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049684264 | ||
| 003 | DE-604 | ||
| 005 | 20240515 | ||
| 007 | t | ||
| 008 | 240514s2023 a||| m||| 00||| eng d | ||
| 035 | |a (OCoLC)1437837245 | ||
| 035 | |a (DE-599)BVBBV049684264 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-473 |a DE-703 |a DE-1051 |a DE-824 |a DE-29 |a DE-12 |a DE-91 |a DE-19 |a DE-1049 |a DE-92 |a DE-739 |a DE-898 |a DE-355 |a DE-706 |a DE-20 |a DE-1102 |a DE-860 |a DE-2174 | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Kastner, Johannes |d ca. 20./21. Jh. |e Verfasser |0 (DE-588)1200115104 |4 aut | |
| 245 | 1 | 0 | |a Discovery and explainability of fine-grained structures in large-scale user-generated data sets |c Johannes Kastner |
| 264 | 1 | |a Augsburg |c 2023 | |
| 300 | |a xix, 268 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c Universität Augsburg |d 2024 | ||
| 650 | 0 | 7 | |a Überwachtes Lernen |0 (DE-588)4580264-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Unüberwachtes Lernen |0 (DE-588)4580265-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 2 | |a Überwachtes Lernen |0 (DE-588)4580264-6 |D s |
| 689 | 0 | 3 | |a Unüberwachtes Lernen |0 (DE-588)4580265-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |o urn:nbn:de:bvb:384-opus4-1120127 |
| 856 | 4 | 1 | |u https://opus.bibliothek.uni-augsburg.de/opus4/112012 |x Verlag |z kostenfrei |3 Volltext |
| 856 | 4 | 1 | |u https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1120127 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
Datensatz im Suchindex
| _version_ | 1805082339682811904 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Kastner, Johannes ca. 20./21. Jh |
| author_GND | (DE-588)1200115104 |
| author_facet | Kastner, Johannes ca. 20./21. Jh |
| author_role | aut |
| author_sort | Kastner, Johannes ca. 20./21. Jh |
| author_variant | j k jk |
| building | Verbundindex |
| bvnumber | BV049684264 |
| classification_rvk | ST 300 |
| collection | ebook |
| ctrlnum | (OCoLC)1437837245 (DE-599)BVBBV049684264 |
| discipline | Informatik |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049684264</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240515</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">240514s2023 a||| m||| 00||| eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1437837245</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049684264</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-2174</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kastner, Johannes</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1200115104</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Discovery and explainability of fine-grained structures in large-scale user-generated data sets</subfield><subfield code="c">Johannes Kastner</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Augsburg</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xix, 268 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Universität Augsburg</subfield><subfield code="d">2024</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Überwachtes Lernen</subfield><subfield code="0">(DE-588)4580264-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Unüberwachtes Lernen</subfield><subfield code="0">(DE-588)4580265-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Überwachtes Lernen</subfield><subfield code="0">(DE-588)4580264-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Unüberwachtes Lernen</subfield><subfield code="0">(DE-588)4580265-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="o">urn:nbn:de:bvb:384-opus4-1120127</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://opus.bibliothek.uni-augsburg.de/opus4/112012</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1120127</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV049684264 |
| illustrated | Illustrated |
| indexdate | 2024-07-20T07:31:06Z |
| institution | BVB |
| language | English |
| oclc_num | 1437837245 |
| open_access_boolean | 1 |
| owner | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
| owner_facet | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
| physical | xix, 268 Seiten Illustrationen, Diagramme |
| psigel | ebook |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| record_format | marc |
| spelling | Kastner, Johannes ca. 20./21. Jh. Verfasser (DE-588)1200115104 aut Discovery and explainability of fine-grained structures in large-scale user-generated data sets Johannes Kastner Augsburg 2023 xix, 268 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Universität Augsburg 2024 Überwachtes Lernen (DE-588)4580264-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Unüberwachtes Lernen (DE-588)4580265-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s Überwachtes Lernen (DE-588)4580264-6 s Unüberwachtes Lernen (DE-588)4580265-8 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:384-opus4-1120127 https://opus.bibliothek.uni-augsburg.de/opus4/112012 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1120127 Resolving-System kostenfrei Volltext |
| spellingShingle | Kastner, Johannes ca. 20./21. Jh Discovery and explainability of fine-grained structures in large-scale user-generated data sets Überwachtes Lernen (DE-588)4580264-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Unüberwachtes Lernen (DE-588)4580265-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4580264-6 (DE-588)4033447-8 (DE-588)4580265-8 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Discovery and explainability of fine-grained structures in large-scale user-generated data sets |
| title_auth | Discovery and explainability of fine-grained structures in large-scale user-generated data sets |
| title_exact_search | Discovery and explainability of fine-grained structures in large-scale user-generated data sets |
| title_full | Discovery and explainability of fine-grained structures in large-scale user-generated data sets Johannes Kastner |
| title_fullStr | Discovery and explainability of fine-grained structures in large-scale user-generated data sets Johannes Kastner |
| title_full_unstemmed | Discovery and explainability of fine-grained structures in large-scale user-generated data sets Johannes Kastner |
| title_short | Discovery and explainability of fine-grained structures in large-scale user-generated data sets |
| title_sort | discovery and explainability of fine grained structures in large scale user generated data sets |
| topic | Überwachtes Lernen (DE-588)4580264-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Unüberwachtes Lernen (DE-588)4580265-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Überwachtes Lernen Künstliche Intelligenz Unüberwachtes Lernen Maschinelles Lernen Hochschulschrift |
| url | https://opus.bibliothek.uni-augsburg.de/opus4/112012 https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-1120127 |
| work_keys_str_mv | AT kastnerjohannes discoveryandexplainabilityoffinegrainedstructuresinlargescaleusergenerateddatasets |