LEADER 04412nam 22006495 450 001 996466314103316 005 20200701153617.0 010 $a3-030-03493-3 024 7 $a10.1007/978-3-030-03493-1 035 $a(CKB)4100000007127555 035 $a(DE-He213)978-3-030-03493-1 035 $a(MiAaPQ)EBC6283346 035 $a(PPN)232470766 035 $a(EXLCZ)994100000007127555 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$b[electronic resource] $e19th International Conference, Madrid, Spain, November 21?23, 2018, Proceedings, Part I /$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, 865 p. 285 illus., 197 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v11314 311 $a3-030-03492-5 327 $aIntelligent data analysis -- data mining and their associated learning systems and paradigms -- big data challenges -- machine learning, data mining, information retrieval and management -- bio- and neuro-informatics -- bio-inspired models including neural networks, evolutionary computation and swarm intelligence -- agents and hybrid intelligent systems, and real-world applications of intelligent techniques -- evolutionary algorithms -- deep learning neural networks -- probabilistic modeling -- 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. 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 ;$v11314 606 $aData mining 606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputers 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 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aComputers. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aTheory of Computation. 676 $a006.3 702 $aYin$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 $a996466314103316 996 $aIntelligent Data Engineering and Automated Learning ? IDEAL 2018$91921281 997 $aUNISA