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Intelligent data engineering and aut...

IDEAL (Conference) (2016 :)

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Intelligent data engineering and automated learning - IDEAL 2016 = 17th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent data engineering and automated learning - IDEAL 2016/ edited by Hujun Yin ... [et al.].
Reminder of title:	17th International Conference, Yangzhou, China, October 12-14, 2016 : proceedings /
remainder title:	IDEAL 2016
other author:	Yin, Hujun.
corporate name:	IDEAL (Conference)
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xvi, 647 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data mining - Congresses. -
Online resource:	http://link.springer.com/openurl.asp?genre=book&isbn=978-3-319-46257-8
ISBN:	9783319462578$q(electronic bk.)

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] :IDEAL 2016edited by Hujun Yin ... [et al.]. - Cham :Springer International Publishing :2016. - xvi, 647 p. :ill., digital ;24 cm. - Lecture notes in computer science,99370302-9743 ;. - Lecture notes in computer science ;9937..

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$q(electronic bk.)

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

551626
Data mining
--Congresses.

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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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.
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