LEADER 05130nam 22007215 450 001 9910254848703321 005 20200629210642.0 010 $a981-10-6385-0 024 7 $a10.1007/978-981-10-6385-5 035 $a(CKB)4100000000587327 035 $a(DE-He213)978-981-10-6385-5 035 $a(MiAaPQ)EBC6298256 035 $a(MiAaPQ)EBC5590719 035 $a(Au-PeEL)EBL5590719 035 $a(OCoLC)1004513473 035 $a(PPN)204533090 035 $a(EXLCZ)994100000000587327 100 $a20170915d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science $eThird International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22?24, 2017, Proceedings, Part I /$fedited by Beiji Zou, Min Li, Hongzhi Wang, Xianhua Song, Wei Xie, Zeguang Lu 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XXV, 769 p. 351 illus.) 225 1 $aCommunications in Computer and Information Science,$x1865-0929 ;$v727 311 $a981-10-6384-2 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, Data-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science. 410 0$aCommunications in Computer and Information Science,$x1865-0929 ;$v727 606 $aData mining 606 $aArtificial intelligence 606 $aOptical data processing 606 $aPattern recognition 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aPattern recognition. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 676 $a006.312 702 $aZou$b Beiji$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Min$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Hongzhi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSong$b Xianhua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aXie$b Wei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLu$b Zeguang$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254848703321 996 $aData Science$91562261 997 $aUNINA