Verfügbarkeit: Big Data :: THWS Bibkatalog

Big Data: 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings

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Weitere Verfasser:	Li, Tianrui (HerausgeberIn), Mao, Rui (HerausgeberIn), Wang, Guoyin (HerausgeberIn), Teng, Fei (HerausgeberIn), Zhang, Lei (HerausgeberIn), Wang, Li (HerausgeberIn), Cui, Laizhong (HerausgeberIn), Hu, Jie (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Singapore Springer Nature Singapore 2022 Singapore Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	Communications in Computer and Information Science 1709
Schlagworte:	Artificial Intelligence Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Administrative Data Processing Artificial intelligence Data mining Image processing—Digital techniques Computer vision Information technology—Management
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Beschreibung:	1 Online-Ressource (XI, 139 p. 51 illus., 43 illus. in color)
ISBN:	9789811983313
ISSN:	1865-0937
DOI:	10.1007/978-981-19-8331-3

Internformat

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Datensatz im Suchindex

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owner	DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (XI, 139 p. 51 illus., 43 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer Nature Singapore Springer
record_format	marc
series2	Communications in Computer and Information Science
spellingShingle	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings Artificial Intelligence Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Administrative Data Processing Artificial intelligence Data mining Image processing—Digital techniques Computer vision Information technology—Management
title	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings
title_auth	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings
title_exact_search	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings
title_exact_search_txtP	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings
title_full	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings edited by Tianrui Li, Rui Mao, Guoyin Wang, Fei Teng, Lei Zhang, Li Wang, Laizhong Cui, Jie Hu
title_fullStr	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings edited by Tianrui Li, Rui Mao, Guoyin Wang, Fei Teng, Lei Zhang, Li Wang, Laizhong Cui, Jie Hu
title_full_unstemmed	Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings edited by Tianrui Li, Rui Mao, Guoyin Wang, Fei Teng, Lei Zhang, Li Wang, Laizhong Cui, Jie Hu
title_short	Big Data
title_sort	big data 10th ccf conference bigdata 2022 chengdu china november 18 20 2022 proceedings
title_sub	10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings
topic	Artificial Intelligence Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Administrative Data Processing Artificial intelligence Data mining Image processing—Digital techniques Computer vision Information technology—Management
topic_facet	Artificial Intelligence Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Administrative Data Processing Artificial intelligence Data mining Image processing—Digital techniques Computer vision Information technology—Management
url	https://doi.org/10.1007/978-981-19-8331-3
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