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Web and big data: 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III

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Bibliographic Details
Corporate Author:	APWeb-WAIM Joint International Conference on Web and Big Data Jinhua (Author)
Other Authors:	Zhang, Wenjie (Editor), Tung, Anthony (Editor), Zheng, Zhonglong (Editor), Yang, Zhengyi (Editor), Wang, Xiaoyang (Editor), Guo, Hongjie (Editor)
Format:	Electronic Conference Proceedings eBook
Language:	English
Published:	Singapore Springer [2024]
Series:	Lecture notes in computer science 14963
Subjects:	Big Data Data Structures and Information Theory Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Big data Data structures (Computer science) Information theory Application software Image processing / Digital techniques Computer vision Data mining Wissensverarbeitung XML Information Retrieval World Wide Web Abfrageverarbeitung Datenbanksystem Konferenzschrift > 2024 > Jinhua
Links:	https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4 https://doi.org/10.1007/978-981-97-7238-4
Physical Description:	1 Online-Ressource (xvii, 515 Seiten) 190 Illustrationen, 177 in Farbe
ISBN:	9789819772384
ISSN:	1611-3349
DOI:	10.1007/978-981-97-7238-4

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genre	(DE-588)1071861417 Konferenzschrift 2024 Jinhua gnd-content
genre_facet	Konferenzschrift 2024 Jinhua
id	DE-604.BV049846470
illustrated	Illustrated
indexdate	2025-03-06T13:03:49Z
institution	BVB
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isbn	9789819772384
issn	1611-3349
language	English
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physical	1 Online-Ressource (xvii, 515 Seiten) 190 Illustrationen, 177 in Farbe
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series2	Lecture notes in computer science
spellingShingle	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III Lecture notes in computer science Big Data Data Structures and Information Theory Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Big data Data structures (Computer science) Information theory Application software Image processing / Digital techniques Computer vision Data mining Wissensverarbeitung (DE-588)4286963-8 gnd XML (DE-588)4501553-3 gnd Information Retrieval (DE-588)4072803-1 gnd World Wide Web (DE-588)4363898-3 gnd Abfrageverarbeitung (DE-588)4378490-2 gnd Datenbanksystem (DE-588)4113276-2 gnd
subject_GND	(DE-588)4286963-8 (DE-588)4501553-3 (DE-588)4072803-1 (DE-588)4363898-3 (DE-588)4378490-2 (DE-588)4113276-2 (DE-588)1071861417
title	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III
title_auth	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III
title_exact_search	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III
title_full	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo, editors
title_fullStr	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo, editors
title_full_unstemmed	Web and big data 8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo, editors
title_short	Web and big data
title_sort	web and big data 8th international joint conference apweb waim 2024 jinhua china august 30 september 1 2024 proceedings part iii
title_sub	8th international joint conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, proceedings, part III
topic	Big Data Data Structures and Information Theory Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Big data Data structures (Computer science) Information theory Application software Image processing / Digital techniques Computer vision Data mining Wissensverarbeitung (DE-588)4286963-8 gnd XML (DE-588)4501553-3 gnd Information Retrieval (DE-588)4072803-1 gnd World Wide Web (DE-588)4363898-3 gnd Abfrageverarbeitung (DE-588)4378490-2 gnd Datenbanksystem (DE-588)4113276-2 gnd
topic_facet	Big Data Data Structures and Information Theory Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Big data Data structures (Computer science) Information theory Application software Image processing / Digital techniques Computer vision Data mining Wissensverarbeitung XML Information Retrieval World Wide Web Abfrageverarbeitung Datenbanksystem Konferenzschrift 2024 Jinhua
url	https://doi.org/10.1007/978-981-97-7238-4
volume_link	(DE-604)BV014880109
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