Intelligent Data Engineering and Automated Learning Ideal 2016: Intelligent Data Engineering and Automated Learning Ideal 2016

Yin, Hujun (Editor)/ Gao, Yang (Editor)/ Li, Bin (Editor)/ Zhang, Daoqiang (Editor)/ Yang, Ming (Editor)

ISBN 10: 3319462563 / ISBN 13: 9783319462561

Published by Springer-Verlag New York Inc, 2016

About this Item

664 pages. 9.25x6.10x1.42 inches. In Stock.

Seller Inventory # x-3319462563

Bibliographic Details

• Title: Intelligent Data Engineering and Automated Learning Ideal 2016: Intelligent Data Engineering and Automated Learning Ideal 2016
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2016
• Language: English
• ISBN 10: 3319462563
• ISBN 13: 9783319462561
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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.