ENGLISH

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

By Frank Klawonn , Hujun Yin , Yun Li , Bin Li , Ming Yang , Yang Gao , Daoqiang Zhang , Antonio J. Tallón-Ballesteros (eds.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-46256-1, 978-3-319-46257-8
DOI
10.1007/978-3-319-46257-8
Language
english
Format
PDF
Filesize
47 MB (49117621 bytes)
Series
Lecture Notes in Computer Science 9937
Edition
1
Pages
XVI, 647\664
Time added
2016-11-20 09:00:00
Data Mining and Knowledge Discovery;Pattern Recogn

Description

The core of the IDEAL conference has been evolving from mining, analyzing, and exploring to interpreting and making sense of seas of data this is particularly meaningful in this big-data and deep-learning era. 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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