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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.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Author/Creator:
Song, Xiangyu.
Contributor:
Feng, Ruyi.
Chen, Yunliang.
Li, Jianxin.
Min, Geyong.
Series:
Communications in Computer and Information Science, 1865-0937 ; 2094
Language:
English
Subjects (All):
Big data.
Data structures (Computer science).
Information theory.
Application software.
Image processing--Digital techniques.
Image processing.
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.
Local Subjects:
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.
Physical Description:
1 online resource (95 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
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. .
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9789819729913
9819729912
OCLC:
1433686741

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