Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings (Paperback, 1st ed. 2016)


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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Information Systems and Applications, incl. Internet/Web, and HCI, 9937

Release date

September 2016

Availability

Expected to ship within 10 - 15 working days

First published

2016

Editors

, , , , , , ,

Dimensions

235 x 155 x 34mm (L x W x T)

Format

Paperback

Pages

647

Edition

1st ed. 2016

ISBN-13

978-3-319-46256-1

Barcode

9783319462561

Categories

LSN

3-319-46256-3



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