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IDEAL 2018 $e19th International Conference, Madrid, Spain, November 21?23, 2018, Proceedings, Part I /$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 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11314 311 08$a9783030034924 311 08$a3030034925 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,$x2946-1642 ;$v11314 606 $aData mining 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer science 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aTheory of Computation 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer science. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aTheory of Computation. 676 $a006.3 676 $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 $a9910349393703321 996 $aIntelligent Data Engineering and Automated Learning ? 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