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Intelligent Data Engineering and Automated Learning – IDEAL 2018 : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I / edited by Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 11314 | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2018Description: Online-Ressource (XXVI, 865 p. 285 illus., 197 illus. in color, online resource)ISBN:
  • 9783030034931
Subject(s): Additional physical formats: 9783030034924 | 9783030034948 | Erscheint auch als: 978-3-030-03492-4 Druck-Ausgabe | Printed edition: 9783030034924 | Printed edition: 9783030034948 DDC classification:
  • 006.312
LOC classification:
  • QA76.9.D343
DOI: DOI: 10.1007/978-3-030-03493-1Online resources: Summary: This 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 analysisSummary: Intelligent 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 analysisPPN: PPN: 1041330219Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
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