LEADER 01346nam2 22002653i 450 001 SUN0099590 005 20190117111811.587 010 $a37-00-12233-0$d0.00 100 $a20141029d1996 |0gerc50 ba 101 $ager 102 $aAT 105 $a|||| ||||| 200 1 $a<> 1 210 $aWien$cÖsterreichische Akademie der Wissenschaften$d1996 215 $aXXV, 389 p.$d24 cm. 461 1$1001SUN0099587$12001 $aDie *Völkerrechtliche Praxis der Donaumonarchie von 1859 bis 1918$eeine Auswahl von Dokumenten$fherausgegeben von Stephan Verosta, Ignaz Seidl-Hohenveldern$v1$1210 $aWien$cÖsterreichischen Akademie der Wissenschaften$d1996$1215 $a2 volumi$d25 cm. 606 $aAustria-Ungheria$xRelazioni Internazionali$x1859-1918$xDocumenti$2SG$3SUNC030204 620 $dVienna$3SUNL000107 676 $a341.0266436$v22 712 $aOsterreichischen akademie der wissenschaften$3SUNV004626$4650 801 $aIT$bSOL$c20190121$gRICA 912 $aSUN0099590 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00CONS XIII.Es.74 (1) $e00 9810 20141029 996 $aVölkerrechtliche Praxis der Donaumonarchie von 1859 bis 1918$91541050 997 $aUNICAMPANIA LEADER 03041nam 22006495 450 001 9910349418803321 005 20251225203449.0 010 $a9783319961330 010 $a3319961330 024 7 $a10.1007/978-3-319-96133-0 035 $a(CKB)4100000005323373 035 $a(DE-He213)978-3-319-96133-0 035 $a(MiAaPQ)EBC6305094 035 $a(PPN)22950258X 035 $a(EXLCZ)994100000005323373 100 $a20180707d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Data Mining in Pattern Recognition $e14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II /$fedited by Petra Perner 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 485 p. 143 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10935 311 08$a9783319961323 311 08$a3319961322 320 $aIncludes bibliographical references and index. 327 $aClassification -- Clustering -- Image mining -- Text mining -- Video mining.-Web mining -- Graph mining -- Process mining. 330 $aThis two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10935 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aData mining 606 $aApplication software 606 $aArtificial Intelligence 606 $aNatural Language Processing (NLP) 606 $aData Mining and Knowledge Discovery 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science). 615 0$aData mining. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer and Information Systems Applications. 676 $a006.3 702 $aPerner$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349418803321 996 $aMachine Learning and Data Mining in Pattern Recognition$9772451 997 $aUNINA