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Intelligent Data Engineering and Automated Learning – IDEAL 2017

18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10585)

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Conference proceedings info: IDEAL 2017.

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Table of contents (65 papers)

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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2017

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About this book

This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017.

The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample 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, 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 analysis.

Editors and Affiliations

  • University of Manchester, Manchester, United Kingdom

    Hujun Yin

  • School of Electronic and Electrical Engineering, Nanjing University, Nanjiing, China

    Yang Gao

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Songcan Chen

  • Guilin University of Electronic Technology, Guilin, China

    Yimin Wen, Guoyong Cai, Tianlong Gu

  • Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  • University of Seville, Seville, Spain

    Antonio J. Tallón-Ballesteros

  • Southeast University, Nanjing, China

    Minling Zhang

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