Yin / Gao / Li Intelligent Data Engineering and Automated Learning – IDEAL 2016

17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings
1. Auflage 2016
ISBN: 978-3-319-46257-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 647 Seiten

Reihe: Information Systems and Applications, incl. Internet/Web, and HCI

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.

Zielgruppe

Research

Autoren/Hrsg.

Yin, Hujun

Gao, Yang

Li, Bin

Zhang, Daoqiang

Yang, Ming

Li, Yun

Klawonn, Frank

Tallón-Ballesteros, Antonio J.

Inhaltsverzeichnis

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.