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

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

Overview

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.

 

Product Details

ISBN-13:	9783319462578
Publisher:	Springer-Verlag New York, LLC
Publication date:	09/12/2016
Series:	Lecture Notes in Computer Science , #9937
Sold by:	Barnes & Noble
Format:	eBook
File size:	13 MB
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Table of Contents

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.