000799994 000__ 04726cam\a2200565Ii\4500
000799994 001__ 799994
000799994 005__ 20230306143655.0
000799994 006__ m\\\\\o\\d\\\\\\\\
000799994 007__ cr\un\nnnunnun
000799994 008__ 170922s2017\\\\si\a\\\\o\\\\\101\0\eng\d
000799994 019__ $$a1005474200$$a1005478957$$a1008872443$$a1011791596$$a1048125141$$a1058546538$$a1079169275$$a1079334843
000799994 020__ $$a9789811063855$$q(electronic book)
000799994 020__ $$a9811063850$$q(electronic book)
000799994 020__ $$z9789811063848
000799994 0247_ $$a10.1007/978-981-10-6385-5$$2doi
000799994 035__ $$aSP(OCoLC)on1004513473
000799994 035__ $$aSP(OCoLC)1004513473$$z(OCoLC)1005474200$$z(OCoLC)1005478957$$z(OCoLC)1008872443$$z(OCoLC)1011791596$$z(OCoLC)1048125141$$z(OCoLC)1058546538$$z(OCoLC)1079169275$$z(OCoLC)1079334843
000799994 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCF$$dYDX$$dAZU$$dUPM$$dMERER$$dIOG$$dCOO$$dOCLCQ$$dU3W$$dCAUOI$$dOCLCQ$$dCEF$$dKSU$$dVT2$$dAU@$$dEBLCP$$dESU$$dWYU$$dOCLCQ$$dUKMGB
000799994 049__ $$aISEA
000799994 050_4 $$aQA76.9.D343
000799994 08204 $$a006.3/12$$223
000799994 1112_ $$aInternational Conference of Pioneering Computer Scientists, Engineers and Educators$$n(3rd :$$d2017 :$$cChangsha Shi, China)
000799994 24510 $$aData science :$$bthird International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings.$$nPart I /$$cBeiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu (eds.).
000799994 2463_ $$aICPCSEE 2017
000799994 264_1 $$aSingapore :$$bSpringer,$$c2017.
000799994 300__ $$a1 online resource (xxv, 769 pages) :$$billustrations.
000799994 336__ $$atext$$btxt$$2rdacontent
000799994 337__ $$acomputer$$bc$$2rdamedia
000799994 338__ $$aonline resource$$bcr$$2rdacarrier
000799994 4901_ $$aCommunications in computer and information science,$$x1865-0929 ;$$v727
000799994 500__ $$aInternational conference proceedings.
000799994 500__ $$aIncludes author index.
000799994 5050_ $$aMathematical Issues in Data Science -- Computational Theory for Data Science, Big Data Management and Applications -- Data Quality and Data Preparation -- Evaluation and Measurement in Data Science -- Data Visualization -- Big Data Mining and Knowledge Management -- Infrastructure for Data Science -- Machine Learning for Data Science -- Data Security and Privacy -- Applications of Data Science -- Case Study of Data Science -- Multimedia Data Management and Analysis -- Data-driven Scientific Research -- Data-driven Bioinformatics -- Data-driven Healthcare -- Data-driven Management -- Data-driven eGovernment -- Data-driven Smart City/Planet -- Data Marketing and Economics -- Social Media and Recommendation Systems -- Data-driven Security -- Data-driven Business Model Innovation -- Social and/or organizational impacts of Data Science.
000799994 506__ $$aAccess limited to authorized users.
000799994 520__ $$aThis two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, D ata-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science.
000799994 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 22, 2017).
000799994 650_0 $$aData mining$$vCongresses.
000799994 650_0 $$aBig data$$vCongresses.
000799994 7001_ $$aZou, Beiji,$$eeditor.
000799994 7001_ $$aLi, Min,$$eeditor.
000799994 7001_ $$aWang, Hongzhi,$$eeditor.
000799994 7001_ $$aSong, Xianhua,$$eeditor.
000799994 7001_ $$aXie, Wei,$$eeditor.
000799994 7001_ $$aLu, Zeguang,$$eeditor.
000799994 77608 $$iPrint version:$$z9789811063848
000799994 830_0 $$aCommunications in computer and information science ;$$v727.
000799994 85280 $$bebk$$hSpringerLink
000799994 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-6385-5$$zOnline Access$$91397441.1
000799994 909CO $$ooai:library.usi.edu:799994$$pGLOBAL_SET
000799994 980__ $$aEBOOK
000799994 980__ $$aBIB
000799994 982__ $$aEbook
000799994 983__ $$aOnline
000799994 994__ $$a92$$bISE