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

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.
 

List 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.

Summary

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

• Assisted by: Yan Gao (Editor), Yang Gao (Editor), Frank Klawonn (Editor), Bin Li (Editor), Yun Li (Editor), Bin Li et al (Editor), Antonio J. Tallón-Ballesteros (Editor), Ming Yang (Editor), Hujun Yin (Editor), Daoqiang Zhang (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783319462561
• ISBN: 978-3-31-946256-1
• No. of pages: 647
• Dimensions: 156 mm x 38 mm x 236 mm
• Weight: 990 g
• Illustrations: XVI, 647 p. 209 illus.
• Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Künstliche Intelligenz, Algorithmen und Datenstrukturen, Data Mining, Algorithms, Artificial Intelligence, Mustererkennung, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Wissensbasierte Systeme, Expertensysteme, computer science, Information Retrieval, Theory of Computation, pattern recognition, Data Mining and Knowledge Discovery, Computers, Algorithms & data structures, Automated Pattern Recognition, Mathematical theory of computation, Algorithm Analysis and Problem Complexity, Expert systems / knowledge-based systems, Information Storage and Retrieval, Computation by Abstract Devices, Web Applications, Web Mining