Intelligent Data Engineering and Automated Learning - IDEAL 2015
16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings
Published on 13. October 2015
XX, 560 pages
978-3-319-24834-9 (ISBN)
Description
This book constitutes the refereed proceedings of the
16th International Conference on Intelligent Data Engineering and Automated
Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015.
The 64 revised full papers presented were carefully
reviewed and selected from 127 submissions. These papers provided a valuable
collection of recent research outcomes in data engineering and automated
learning, from methodologies, frameworks, and techniques to applications. In
addition to various topics such as evolutionary algorithms, neural networks,
probabilistic modeling, swarm intelligent, multi-objective optimization, and
practical applications in regression, classification, clustering, biological
data processing, text processing, video analysis, IDEAL 2015 also featured a
number of special sessions on several emerging topics such as computational
intelligence for optimization of communication networks, discovering knowledge
fromdata, simulation-driven DES-like modeling and performance evaluation, and
intelligent applications in real-world problems.
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XX, 560 p. 153 illus. in color.
ISBN-13
978-3-319-24834-9 (9783319248349)
DOI
10.1007/978-3-319-24834-9
Schweitzer Classification
Other editions
Additional editions
Konrad Jackowski | Robert Burduk | Krzysztof Walkowiak
Intelligent Data Engineering and Automated Learning - IDEAL 2015
16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings
Book
10/2015
Springer
€53.49
Shipment within 10-15 days
Content
Evolutionary algorithms.- Neural networks.- Probabilistic modeling.- Swarm intelligent, multi-objective optimization, and practical applications in regression.- Classification.- Clustering.-Biological data processing.- Text processing.- Video analysis.- Computational intelligence for optimization of communication networks.- Discovering knowledge from data.- Simulation-driven DES-like modeling and performance evaluation.- Intelligent applications in real-world problems.
