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Intelligent Data Engineering and Automated Learning IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings
This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The...
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| Auteurs principaux : | , , , |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Intelligent Data Engineering and Automated Learning IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings / edited by Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2013 Cham : Springer Nature |
| Collection : | Information Systems and Applications, incl. Internet/Web, and HCI ; 8206 |
| Accès en ligne : |
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| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Sujets : | |
| Documents associés : | Autre format:
Intelligent Data Engineering and Automated Learning IDEAL 2013 Autre format: Intelligent Data Engineering and Automated Learning -- IDEAL 2013 |
| Résumé : | This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2013, held in Hefei, China, in October 2013. The 76 revised full papers presented were carefully reviewed and selected from more than 130 submissions. These papers provided a valuable collection of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modelling, swarm intelligent, multi-objective optimisation, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, including a number of special sessions on emerging topics such as adaptation and learning multi-agent systems, big data, swarm intelligence and data mining, and combining learning and optimisation in intelligent data engineering. |
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| ISBN : | 978-3-642-41278-3 |
| DOI : | 10.1007/978-3-642-41278-3 |