LEADER 00812nam0-22002891i-450 001 990001714920403321 005 20170515151054.0 035 $a000171492 035 $aFED01000171492 035 $a(Aleph)000171492FED01 035 $a000171492 100 $a20030910d1903----km-y0itay50------ba 101 0 $aita 200 1 $a<>essiccatoi cooperativi da bozzoli$fA. Sansone. 210 $aCasale Monferrato$cC. Cassone$d1903 215 $a168 p.$d24 cm 225 1 $aBiblioteca agraria Ottavi$v41 610 0 $aBachicoltura 676 $a638.2 700 1$aSansone,$bAntonio$072719 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001714920403321 952 $a60 638.2 B 24$b10675$fFAGBC 959 $aFAGBC 996 $aEssiccatoi cooperativi da bozzoli$9358977 997 $aUNINA LEADER 03817nam 22007575 450 001 9910349393603321 005 20251113185305.0 010 $a9783030034962 010 $a3030034968 024 7 $a10.1007/978-3-030-03496-2 035 $a(CKB)4100000007127556 035 $a(DE-He213)978-3-030-03496-2 035 $a(MiAaPQ)EBC6298899 035 $a(PPN)23247074X 035 $a(EXLCZ)994100000007127556 100 $a20181108d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Data Engineering and Automated Learning ? IDEAL 2018 $e19th International Conference, Madrid, Spain, November 21?23, 2018, Proceedings, Part II /$fedited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXVI, 349 p. 96 illus., 62 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11315 311 08$a9783030034955 311 08$a303003495X 320 $aIncludes bibliographical references and index. 330 $aThis two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11315 606 $aData mining 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aApplication software 606 $aComputer engineering 606 $aComputer networks 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aNatural Language Processing (NLP) 606 $aComputer and Information Systems Applications 606 $aComputer Engineering and Networks 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science). 615 0$aApplication software. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aComputer and Information Systems Applications. 615 24$aComputer Engineering and Networks. 676 $a006.3 676 $a006.312 702 $aYin$b Hujun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCamacho$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNovais$b Paulo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTallón-Ballesteros$b Antonio J$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349393603321 996 $aIntelligent Data Engineering and Automated Learning ? IDEAL 2018$91921281 997 $aUNINA