Verfügbarkeit: Web and big data | Technische Universität München

Web and big data: 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II

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Bibliographische Detailangaben
Körperschaft:	Asia-Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data Wuhan (VerfasserIn)
Weitere beteiligte Personen:	Song, Xiangyu (HerausgeberIn), Feng, Ruyi (HerausgeberIn), Chen, Yunliang (HerausgeberIn), Li, Jianxin (HerausgeberIn), Min, Geyong (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer [2024]
Schriftenreihe:	Lecture notes in computer science 14332
Schlagwörter:	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 World Wide Web Abfrageverarbeitung Datenbanksystem Information Retrieval Konferenzschrift > 2023 > Wuhan
Links:	https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4 https://doi.org/10.1007/978-981-97-2390-4
Umfang:	1 Online-Ressource (xviii, 518 Seiten) 175 Illustrationen, 150 in Farbe
ISBN:	9789819723904
ISSN:	1611-3349
DOI:	10.1007/978-981-97-2390-4

Internformat

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Datensatz im Suchindex

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genre	(DE-588)1071861417 Konferenzschrift 2023 Wuhan gnd-content
genre_facet	Konferenzschrift 2023 Wuhan
id	DE-604.BV049673447
illustrated	Illustrated
indexdate	2024-12-20T20:18:42Z
institution	BVB
institution_GND	(DE-588)1331703514
isbn	9789819723904
issn	1611-3349
language	English
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oclc_num	1437856689
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physical	1 Online-Ressource (xviii, 518 Seiten) 175 Illustrationen, 150 in Farbe
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series2	Lecture notes in computer science
spellingShingle	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II 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 World Wide Web (DE-588)4363898-3 gnd Abfrageverarbeitung (DE-588)4378490-2 gnd Datenbanksystem (DE-588)4113276-2 gnd Information Retrieval (DE-588)4072803-1 gnd
subject_GND	(DE-588)4286963-8 (DE-588)4501553-3 (DE-588)4363898-3 (DE-588)4378490-2 (DE-588)4113276-2 (DE-588)4072803-1 (DE-588)1071861417
title	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II
title_auth	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II
title_exact_search	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II
title_full	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min, editors
title_fullStr	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min, editors
title_full_unstemmed	Web and big data 7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min, editors
title_short	Web and big data
title_sort	web and big data 7th international joint conference apweb waim 2023 wuhan china october 6 8 2023 proceedings part ii
title_sub	7th international joint conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, proceedings, part II
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 World Wide Web (DE-588)4363898-3 gnd Abfrageverarbeitung (DE-588)4378490-2 gnd Datenbanksystem (DE-588)4113276-2 gnd Information Retrieval (DE-588)4072803-1 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 World Wide Web Abfrageverarbeitung Datenbanksystem Information Retrieval Konferenzschrift 2023 Wuhan
url	https://doi.org/10.1007/978-981-97-2390-4
volume_link	(DE-604)BV014880109
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