7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I 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 XVIII, 515 p. 172 illus., 134 illus. in color. online resource. The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023. The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data. 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 Data mining Big Data Data Structures and Information Theory Computer and Information Systems Applications Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery QA76.9.B45 9789819723034 https://doi.org/10.1007/978-981-97-2303-4 https://doi.org/10.1007/978-981-97-2303-4 240528 20251030112239.0 978-981-97-2303-4