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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Data Engineering and Automated Learning – IDEAL 2016/ edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros.
Reminder of title:	17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings /
other author:	Yin, Hujun.
Description:	XVI, 647 p. 209 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-319-46257-8
ISBN:	9783319462578

Intelligent Data Engineering and Automated Learning – IDEAL 2016 = 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings /
Intelligent Data Engineering and Automated Learning – IDEAL 201617th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings /[electronic resource] :edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros. - 1st ed. 2016. - XVI, 647 p. 209 illus.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;9937. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.

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.

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. .

ISBN: 9783319462578

Standard No.: 10.1007/978-3-319-46257-8doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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