Noise filtering for big data analytics:
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2022]
|
| Schriftenreihe: | De Gruyter series on the applications of mathematics in engineering and information sciences
volume 12 |
| Schlagworte: | |
| Online-Zugang: | BSB01 FAB01 FAW01 FCO01 FHA01 FHI01 FHN01 FHR01 FKE01 FLA01 FWS01 FWS02 TUM01 UBY01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (VIII, 156 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783110697216 9783110697261 |
| DOI: | 10.1515/9783110697216 |
Internformat
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| id | DE-604.BV048256265 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:58:32Z |
| indexdate | 2024-08-01T10:38:47Z |
| institution | BVB |
| institution_GND | (DE-588)10095502-2 |
| isbn | 9783110697216 9783110697261 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033636497 |
| oclc_num | 1335401075 |
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| physical | 1 Online-Ressource (VIII, 156 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-23-DEI ZDB-23-DGG ZDB-23-DGG BSB_PDA_DGG_Kauf ZDB-23-DGG FAB_PDA_DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FHA_PDA_DGG ZDB-23-DEI ZDB-23-DEI21 ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DEI TUM_Paketkauf_2022 ZDB-23-DGG UPA_PDA_DGG |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | De Gruyter |
| record_format | marc |
| series | De Gruyter series on the applications of mathematics in engineering and information sciences |
| series2 | De Gruyter series on the applications of mathematics in engineering and information sciences |
| spellingShingle | Noise filtering for big data analytics De Gruyter series on the applications of mathematics in engineering and information sciences Maschinelles Lernen (DE-588)4193754-5 gnd Angewandte Mathematik (DE-588)4142443-8 gnd Big Data (DE-588)4802620-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4142443-8 (DE-588)4802620-7 (DE-588)4033447-8 |
| title | Noise filtering for big data analytics |
| title_auth | Noise filtering for big data analytics |
| title_exact_search | Noise filtering for big data analytics |
| title_exact_search_txtP | Noise filtering for big data analytics |
| title_full | Noise filtering for big data analytics Souvik Bhattacharyya, Koushik Ghosh (Eds.) |
| title_fullStr | Noise filtering for big data analytics Souvik Bhattacharyya, Koushik Ghosh (Eds.) |
| title_full_unstemmed | Noise filtering for big data analytics Souvik Bhattacharyya, Koushik Ghosh (Eds.) |
| title_short | Noise filtering for big data analytics |
| title_sort | noise filtering for big data analytics |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Angewandte Mathematik (DE-588)4142443-8 gnd Big Data (DE-588)4802620-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Maschinelles Lernen Angewandte Mathematik Big Data Künstliche Intelligenz |
| url | https://doi.org/10.1515/9783110697216 |
| volume_link | (DE-604)BV046978343 |
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