Provenance in data science: from data models to context-aware knowledge graphs
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2021]
|
| Schriftenreihe: | Advanced information and knowledge processing
|
| Schlagworte: | |
| Beschreibung: | xi, 110 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030676803 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047611031 | ||
| 003 | DE-604 | ||
| 005 | 20220930 | ||
| 007 | t | ||
| 008 | 211125s2021 a||| |||| 00||| eng d | ||
| 020 | |a 9783030676803 |9 978-3-030-67680-3 | ||
| 035 | |a (OCoLC)1347222879 | ||
| 035 | |a (DE-599)BVBBV047611031 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
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| 082 | 0 | |a 006.33 |2 23 | |
| 084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
| 245 | 1 | 0 | |a Provenance in data science |b from data models to context-aware knowledge graphs |c Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness, editors |
| 264 | 1 | |a Cham |b Springer |c [2021] | |
| 264 | 4 | |c © 2021 | |
| 300 | |a xi, 110 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Advanced information and knowledge processing | |
| 650 | 4 | |a Knowledge based Systems | |
| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Data Structures and Information Theory | |
| 650 | 4 | |a Machine Learning | |
| 650 | 4 | |a Knowledge representation (Information theory) | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Data structures (Computer science) | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Sikos, Leslie F. |0 (DE-588)1232692565 |4 edt | |
| 700 | 1 | |a Seneviratne, Oshani W. |4 edt | |
| 700 | 1 | |a McGuinness, Deborah L. |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-67681-0 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032995878 | ||
Datensatz im Suchindex
| _version_ | 1804182978469822464 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Sikos, Leslie F. Seneviratne, Oshani W. McGuinness, Deborah L. |
| author2_role | edt edt edt |
| author2_variant | l f s lf lfs o w s ow ows d l m dl dlm |
| author_GND | (DE-588)1232692565 |
| author_facet | Sikos, Leslie F. Seneviratne, Oshani W. McGuinness, Deborah L. |
| building | Verbundindex |
| bvnumber | BV047611031 |
| classification_rvk | ST 530 |
| ctrlnum | (OCoLC)1347222879 (DE-599)BVBBV047611031 |
| dewey-full | 006.33 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.33 |
| dewey-search | 006.33 |
| dewey-sort | 16.33 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV047611031 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:39:50Z |
| indexdate | 2024-07-10T09:16:08Z |
| institution | BVB |
| isbn | 9783030676803 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032995878 |
| oclc_num | 1347222879 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xi, 110 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer |
| record_format | marc |
| series2 | Advanced information and knowledge processing |
| spelling | Provenance in data science from data models to context-aware knowledge graphs Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness, editors Cham Springer [2021] © 2021 xi, 110 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Advanced information and knowledge processing Knowledge based Systems Data Mining and Knowledge Discovery Data Structures and Information Theory Machine Learning Knowledge representation (Information theory) Data mining Data structures (Computer science) Machine learning Sikos, Leslie F. (DE-588)1232692565 edt Seneviratne, Oshani W. edt McGuinness, Deborah L. edt Erscheint auch als Online-Ausgabe 978-3-030-67681-0 |
| spellingShingle | Provenance in data science from data models to context-aware knowledge graphs Knowledge based Systems Data Mining and Knowledge Discovery Data Structures and Information Theory Machine Learning Knowledge representation (Information theory) Data mining Data structures (Computer science) Machine learning |
| title | Provenance in data science from data models to context-aware knowledge graphs |
| title_auth | Provenance in data science from data models to context-aware knowledge graphs |
| title_exact_search | Provenance in data science from data models to context-aware knowledge graphs |
| title_exact_search_txtP | Provenance in data science from data models to context-aware knowledge graphs |
| title_full | Provenance in data science from data models to context-aware knowledge graphs Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness, editors |
| title_fullStr | Provenance in data science from data models to context-aware knowledge graphs Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness, editors |
| title_full_unstemmed | Provenance in data science from data models to context-aware knowledge graphs Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness, editors |
| title_short | Provenance in data science |
| title_sort | provenance in data science from data models to context aware knowledge graphs |
| title_sub | from data models to context-aware knowledge graphs |
| topic | Knowledge based Systems Data Mining and Knowledge Discovery Data Structures and Information Theory Machine Learning Knowledge representation (Information theory) Data mining Data structures (Computer science) Machine learning |
| topic_facet | Knowledge based Systems Data Mining and Knowledge Discovery Data Structures and Information Theory Machine Learning Knowledge representation (Information theory) Data mining Data structures (Computer science) Machine learning |
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