KGMA 2023 and SemiBDMA 2023, Wuhan, China, October 6–8, 2023, Proceedings Song, Xiangyu. editor. edt http://id.loc.gov/vocabulary/relators/edt Feng, Ruyi. editor. edt http://id.loc.gov/vocabulary/relators/edt Chen, Yunliang. editor. edt http://id.loc.gov/vocabulary/relators/edt Li, Jianxin. editor. edt http://id.loc.gov/vocabulary/relators/edt Min, Geyong. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access IX, 89 p. 33 illus., 21 illus. in color. online resource. 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. . edited by Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min. 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 QA76.9.B45 9789819729913 https://doi.org/10.1007/978-981-97-2991-3 https://doi.org/10.1007/978-981-97-2991-3 240509 20251030112034.0 978-981-97-2991-3