Intelligent Data Engineering and Automated Learning – IDEAL 2013

14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings

  • Hujun Yin
  • Ke Tang
  • Yang Gao
  • Frank Klawonn
  • Minho Lee
  • Thomas Weise
  • Bin Li
  • Xin Yao

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8206)

Table of contents

  1. Front Matter
  2. Li Ying, Li Fan-jun
    Pages 1-7
  3. Huaji Shi, Yanzhi Tan, Xiaolong Zhu, Shengli Wu
    Pages 8-15
  4. Andrea Dal Pozzolo, Olivier Caelen, Serge Waterschoot, Gianluca Bontempi
    Pages 24-31
  5. FangMei Fu, Jiong Jia, ZhongLong Zheng, Fan Yang, Li Guo, HaiXin Zhang et al.
    Pages 32-39
  6. Lihong Chen, Hongbin Dong, Qilong Han, Guangzhe Cui
    Pages 40-48
  7. Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian et al.
    Pages 49-57
  8. Guisheng Yin, Xiaohui Cui, Hongbin Dong, Yuxin Dong
    Pages 76-84
  9. Qingbin Zhang, Manjun Cai, Fajun Zhou, Hairong Nie
    Pages 85-92
  10. Wei Shi, Thomas Weise
    Pages 93-100
  11. Piotr Lasek
    Pages 126-133
  12. Prapa Rattadilok, Andrei Petrovski, Sergei Petrovski
    Pages 134-141
  13. Marcin Gorawski, Aleksander Chrószcz, Anna Gorawska
    Pages 142-152

About these proceedings

Introduction

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.

Keywords

ant colony optimization cloud computing genetic algorithms parallel computing semi-supervised learning

Editors and affiliations

  • Hujun Yin
    • 1
  • Ke Tang
    • 2
  • Yang Gao
    • 3
  • Frank Klawonn
    • 4
  • Minho Lee
    • 5
  • Thomas Weise
    • 6
  • Bin Li
    • 7
  • Xin Yao
    • 8
  1. 1.School of Electrical and Electronic EngineeringUniversity of ManchesterUK
  2. 2.University of Science and Technology of ChinaHefeiChina
  3. 3.Nanjing UniversityNanjingChina
  4. 4.Ostfalia University of Applied SciencesWolfenbüttelGermany
  5. 5.Kyungpook National UniversityBuk-GuKorea
  6. 6.Nature Inspired Computational and Applications Laboratory, School of Computer Science and Technology,University of Science and Technology of ChinaHefeiChina
  7. 7.University of Science and Technology of ChinaHefeiChina
  8. 8.CERCIA, School of Computer ScienceUniversity of BirminghamEdgbastonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-41278-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-41277-6
  • Online ISBN 978-3-642-41278-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book