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Intelligent Data Engineering and Automated Learning - IDEAL 2017 : 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings / edited by Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Yin, Hujun., Editor.
Gao, Yang, Editor.
Chen, Songcan., Editor.
Wen, Yimin., Editor.
Cai, Guoyong., Editor.
Gu, Tianlong., Editor.
Du, Junping., Editor.
Tallón-Ballesteros, Antonio J., Editor.
Zhang, Minling., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10585
Information Systems and Applications, incl. Internet/Web, and HCI ; 10585
Language:
English
Subjects (All):
Data mining.
Pattern recognition systems.
Artificial intelligence.
Algorithms.
Information storage and retrieval systems.
Computer science.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Information Storage and Retrieval.
Theory of Computation.
Local Subjects:
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Algorithms.
Information Storage and Retrieval.
Theory of Computation.
Physical Description:
1 online resource (XVI, 609 pages) : 198 illustrations
Edition:
1st ed. 2017.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Other Format:
Printed edition:
ISBN:
978-3-319-68935-7
9783319689357
Access Restriction:
Restricted for use by site license.

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