Handbook of big data analytics:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2018]
|
| Schriftenreihe: | Springer handbooks of computational statistics
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FHR01 FRO01 FUBA1 FWS01 FWS02 HTW01 TUM01 UBM01 UBT01 UBW01 UEI01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (VIII, 538 Seiten, 147 illus., 109 illus. in color) |
| ISBN: | 9783319182841 |
| ISSN: | 2197-9790 |
| DOI: | 10.1007/978-3-319-18284-1 |
Internformat
MARC
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| 245 | 1 | 0 | |a Handbook of big data analytics |c Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 697940 |
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| _version_ | 1806184540243230720 |
| any_adam_object | |
| author2 | Härdle, Wolfgang 1953- Lu, Henry Horng-Shing Shen, Xiaotong |
| author2_role | edt edt edt |
| author2_variant | w h wh h h s l hhs hhsl x s xs |
| author_GND | (DE-588)110357116 (DE-588)1165216981 |
| author_facet | Härdle, Wolfgang 1953- Lu, Henry Horng-Shing Shen, Xiaotong |
| building | Verbundindex |
| bvnumber | BV045111960 |
| classification_rvk | ST 530 QH 234 QH 500 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-30-PQE |
| ctrlnum | (ZDB-2-SMA)9783319182841 (OCoLC)1048240265 (DE-599)BVBBV045111960 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
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| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-319-18284-1 |
| format | Electronic eBook |
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| id | DE-604.BV045111960 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T13:30:06Z |
| institution | BVB |
| isbn | 9783319182841 |
| issn | 2197-9790 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030502271 |
| oclc_num | 1048240265 |
| open_access_boolean | |
| owner | DE-29 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-861 DE-523 DE-703 DE-863 DE-BY-FWS DE-20 DE-739 DE-634 DE-862 DE-BY-FWS DE-824 DE-188 DE-83 |
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| physical | 1 Online-Ressource (VIII, 538 Seiten, 147 illus., 109 illus. in color) |
| psigel | ZDB-2-SMA ZDB-30-PQE ZDB-2-SMA_2018 |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer handbooks of computational statistics |
| spellingShingle | Handbook of big data analytics Statistics Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Mathematical and Computational Engineering Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Data mining Statistik (DE-588)4056995-0 gnd Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4802620-7 (DE-588)4428654-5 (DE-588)4143413-4 |
| title | Handbook of big data analytics |
| title_auth | Handbook of big data analytics |
| title_exact_search | Handbook of big data analytics |
| title_full | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
| title_fullStr | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
| title_full_unstemmed | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
| title_short | Handbook of big data analytics |
| title_sort | handbook of big data analytics |
| topic | Statistics Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Mathematical and Computational Engineering Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Data mining Statistik (DE-588)4056995-0 gnd Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Statistics Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Mathematical and Computational Engineering Statistical Theory and Methods Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Data mining Statistik Big Data Data Mining Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-319-18284-1 |
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