Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10585)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): IDEAL: International Conference on Intelligent Data Engineering and Automated Learning
Conference proceedings info: IDEAL 2017.
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Table of contents (65 papers)
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Front Matter
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
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University of Manchester, Manchester, United Kingdom
Hujun Yin
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School of Electronic and Electrical Engineering, Nanjing University, Nanjiing, China
Yang Gao
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Nanjing University of Aeronautics and Astronautics, Nanjing, China
Songcan Chen
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Guilin University of Electronic Technology, Guilin, China
Yimin Wen, Guoyong Cai, Tianlong Gu
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Beijing University of Posts and Telecommunications, Beijing, China
Junping Du
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University of Seville, Seville, Spain
Antonio J. Tallón-Ballesteros
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Southeast University, Nanjing, China
Minling Zhang
Bibliographic Information
Book Title: Intelligent Data Engineering and Automated Learning – IDEAL 2017
Book Subtitle: 18th International Conference, Guilin, China, October 30 – November 1, 2017, Proceedings
Editors: Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, … Minling Zhang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-68935-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-68934-0Published: 06 October 2017
eBook ISBN: 978-3-319-68935-7Published: 23 October 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 609
Number of Illustrations: 198 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Pattern Recognition, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Information Storage and Retrieval, Computation by Abstract Devices