Data Science 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19-22, 2022, Proceedings, Part II / edited by Yang Wang, Guobin Zhu, Qilong Han, Liehui Zhang, Xianhua Song, Zeguang Lu
Contributor(s): Wang, Yang, editor literario | Zhu, Guobin, editor literario | Han, Qilong, editor literario | Zhang, Liehui, editor literario | Song, Xianhua, editor literario | Lu, Zeguang, editor literario
Series: (Communications in Computer and Information Science, 1865-0937; 1629).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XXIII, 505 páginas) : 211 ilustraciones, 128 ilustraciones a color.ISBN: 9789811952098.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Management and Applications; Data Security and Privacy; Applications of Data Science; Infrastructure for Data Science; Education Track; Regulatory Technology in Finance.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Acceso electrónico | eBook.25123163 |
This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Management and Applications; Data Security and Privacy; Applications of Data Science; Infrastructure for Data Science; Education Track; Regulatory Technology in Finance.
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