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Web and Big Data. APWeb-WAIM 2023 International Workshops : KGMA 2023 and SemiBDMA 2023, Wuhan, China, October 6–8, 2023, Proceedings / / edited by Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min



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Autore: Song Xiangyu Visualizza persona
Titolo: Web and Big Data. APWeb-WAIM 2023 International Workshops : KGMA 2023 and SemiBDMA 2023, Wuhan, China, October 6–8, 2023, Proceedings / / edited by Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (95 pages)
Disciplina: 005.7
Soggetto topico: Big data
Data structures (Computer science)
Information theory
Application software
Image processing - Digital techniques
Computer vision
Information storage and retrieval systems
Data mining
Big Data
Data Structures and Information Theory
Computer and Information Systems Applications
Computer Imaging, Vision, Pattern Recognition and Graphics
Information Storage and Retrieval
Data Mining and Knowledge Discovery
Altri autori: FengRuyi  
ChenYunliang  
LiJianxin  
MinGeyong  
Sommario/riassunto: This proceedings constitutes selected papers from the Workshops KGMA and SemiBDMA which were held in conjunction with APWeb-WAIM 2023 which took place in Wuhan, China, during October 6-8, 2023. The 7 full papers included in this book were carefully reviewed and selected from 15 papers submitted to these workshops. They focus on new research approaches on the theory, design, and implementation of data management systems. .
Titolo autorizzato: Web and Big Data. APWeb-WAIM 2023 International Workshops  Visualizza cluster
ISBN: 9789819729913
9819729912
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910857794403321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2094