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020 _a9789813345720
_9978-981-33-4572-0
024 7 _a10.1007/978-981-33-4572-0
_2doi
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072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aBig Data Analytics for Cyber-Physical System in Smart City
_h[electronic resource] :
_bBDCPS 2020, 28-29 December 2020, Shanghai, China /
_cedited by Mohammed Atiquzzaman, Neil Yen, Zheng Xu.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXLII, 1830 p. 520 illus., 268 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v1303
520 _aThis book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
650 0 _aComputational intelligence.
650 0 _aBig data.
650 0 _aBusiness information services.
650 1 4 _aComputational Intelligence.
650 2 4 _aBig Data.
650 2 4 _aIT in Business.
700 1 _aAtiquzzaman, Mohammed.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYen, Neil.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aXu, Zheng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789813345713
776 0 8 _iPrinted edition:
_z9789813345737
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v1303
856 4 0 _uhttps://doi.org/10.1007/978-981-33-4572-0
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177023
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