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Intelligent Data Engineering and Automated Learning – IDEAL 2016

17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9937)

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Conference proceedings info: IDEAL 2016.

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Table of contents (68 papers)

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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2016

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About this book

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.

The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

 

Editors and Affiliations

  • University of Manchester, Manchester, United Kingdom

    Hujun Yin

  • Nanjing University, Nanjing, China

    Yang Gao

  • Yangzhou University, Yangzhou, China

    Bin Li, Yun Li

  • Aeronautics and Astronautics, Nanjing University Aeronautics and Astronautics, Nanjing, China

    Daoqiang Zhang

  • Nanjing Normal University, Nanjing, China

    Ming Yang

  • Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Frank Klawonn

  • University of Seville, Seville, Spain

    Antonio J. Tallón-Ballesteros

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