LEADER 01398nam a2200325 i 4500 001 991004036479707536 008 030304m1991 be 001 0 eng 020 $a2503042112 (t. 1) 035 $ab1190205x-39ule_inst 040 $aBiblioteca Interfacoltà$bita 082 14$a016.230 100 0 $aDenis : le Chartreux <1402-1471>$0172676 245 10$aDionysii Cartusiensis Opera selecta 260 $aTurnholti :$bTypographi Brepols 300 $a2 v. (866 p.), [8] c. di tav. :$bfacs. ;$c26 cm. 490 0 $aCorpus Christianorum. Continuatio Mediaevalis ;$v121 490 0 $aCorpus Christianorum. Continuatio Mediaevalis ;$v121 A 505 0 $aT. 1: Prolegomena : Bibliotheca manuscripta 505 0 $aI A: Studia bibliographica / auctore Kent Emery Jr. 505 0 $aI B: Studia bibliographica / auctore Kent Emery Jr. 700 1 $aEmery, Kent 730 02$aOpera selecta$940347 740 02$aProlegomena : Bibliotheca manuscripta 907 $a.b1190205x$b28-04-17$c04-03-03 912 $a991004036479707536 945 $aLE002 Patr. CCCM 121$cT. 1.1$g1$i2002000167538$lle002$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i1216544x$z04-03-03 945 $aLE002 Patr. CCCM 121 A$cT. 1.2$g1$i2002000167545$lle002$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i12165517$z04-03-03 996 $aOpera selecta$940347 997 $aUNISALENTO 998 $ale002$b04-03-03$cm$da $e-$feng$gbe $h0$i0 LEADER 00799nam0-2200277 --450 001 9910745497403321 005 20231011132921.0 010 $a88-7431-262-8 100 $a20231011d2004----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $a<>paese di Cuccagna$eromanzo napoletano$fMatilde Serao$ga cura di Caterina De Caprio 210 $aNapoli$cPartagées$d[2004] 215 $a549 p.$d21 cm. 676 $a853.8$v21 700 1$aSerao,$bMatilde$0158037 702 1$aDe Caprio,$bCaterina 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910745497403321 952 $aDFT E40 SERM 01$fFLFBC 959 $aFLFBC 996 $aPaese di cuccagna$9308424 997 $aUNINA 999 $1cnm 00$2CNM 00$3CFIV011977$9CNMN\0000087895 LEADER 04811nam 22007215 450 001 9910254848703321 005 20251107172101.0 010 $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 :$cSpringer Nature Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XXV, 769 p. 351 illus.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v727 311 08$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,$x1865-0937 ;$v727 606 $aData mining 606 $aArtificial intelligence 606 $aComputer vision 606 $aPattern recognition systems 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aAutomated Pattern Recognition 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aAutomated Pattern 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