Intelligent Data Engineering and Automated Learning – IDEAL 2016 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings

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 valua...

Full description

Bibliographic Details
Other Authors: Yin, Hujun (Editor), Gao, Yang (Editor), Li, Bin (Editor), Zhang, Daoqiang (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2016, 2016
Edition:1st ed. 2016
Series:Information Systems and Applications, incl. Internet/Web, and HCI
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02845nmm a2200421 u 4500
001 EB001230533
003 EBX01000000000000000873836
005 00000000000000.0
007 cr|||||||||||||||||||||
008 161005 ||| eng
020 |a 9783319462578 
100 1 |a Yin, Hujun  |e [editor] 
245 0 0 |a Intelligent Data Engineering and Automated Learning – IDEAL 2016  |h Elektronische Ressource  |b 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings  |c edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros 
250 |a 1st ed. 2016 
260 |a Cham  |b Springer International Publishing  |c 2016, 2016 
300 |a XVI, 647 p. 209 illus  |b online resource 
505 0 |a Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- 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 
653 |a Computer science 
653 |a Information Storage and Retrieval 
653 |a Artificial Intelligence 
653 |a Algorithms 
653 |a Data mining 
653 |a Information storage and retrieval systems 
653 |a Artificial intelligence 
653 |a Data Mining and Knowledge Discovery 
653 |a Theory of Computation 
653 |a Automated Pattern Recognition 
653 |a Pattern recognition systems 
700 1 |a Gao, Yang  |e [editor] 
700 1 |a Li, Bin  |e [editor] 
700 1 |a Zhang, Daoqiang  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Information Systems and Applications, incl. Internet/Web, and HCI 
028 5 0 |a 10.1007/978-3-319-46257-8 
856 4 0 |u https://doi.org/10.1007/978-3-319-46257-8?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.312 
520 |a 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.