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008 220729s2022 si | s |||| 0|eng d
020 _a9789811951947
024 7 _a10.1007/978-981-19-5194-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aData Science
_b8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19-22, 2022, Proceedings, Part I
_cedited by Yang Wang, Guobin Zhu, Qilong Han, Hongzhi Wang, Xianhua Song, Zeguang Lu
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXIV, 437 páginas)
_b184 ilustraciones, 132 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v1628
520 _aThis 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 Mining and Knowledge Management; Machine Learning for Data Science; Multimedia Data Management and Analysis.
700 1 _aWang, Yang
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhu, Guobin
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHan, Qilong
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Hongzhi
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSong, Xianhua
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLu, Zeguang
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811951930
776 0 8 _iPrinted edition:
_z9789811951954
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-5194-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394893
_d394893