Intelligent data engineering and automated learning -- IDEAL 2013 : 14th international conference, IDEAL 2013, Hefei, China, October 20-23, 2013, proceedings / Hujun Yin [and 7 others] (eds.).
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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Other Authors: | |
Format: | Ebook |
Language: | English |
Published: |
Heidelberg :
Springer,
[2013]
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Series: | Lecture notes in computer science ;
8206. LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI. |
Subjects: | |
Online Access: | Springer eBooks |
Summary: | 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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Physical Description: | 1 online resource (xviii, 639 pages) : illustrations (some colour). |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 3642412777 9783642412776 3642412793 9783642412790 3642412785 9783642412783 |
ISSN: | 0302-9743 ; |