Intelligent Data Engineering and Automated Learning – IDEAL 2015

16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Database Management, General Computing
Cover of the book Intelligent Data Engineering and Automated Learning – IDEAL 2015 by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319248349
Publisher: Springer International Publishing Publication: October 13, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319248349
Publisher: Springer International Publishing
Publication: October 13, 2015
Imprint: Springer
Language: English

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 from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.

More books from Springer International Publishing

Cover of the book Cryptology and Network Security by
Cover of the book Corporate Social Responsibility in Poland by
Cover of the book Social Computing in Digital Education by
Cover of the book Reviews of Physiology, Biochemistry and Pharmacology, Vol. 164 by
Cover of the book Beyond the Turnout Paradox by
Cover of the book Africa-to-Africa Internationalization by
Cover of the book An Introduction to Disturbance Ecology by
Cover of the book Feminist Science Fiction and Feminist Epistemology by
Cover of the book Musculoskeletal Ultrasound in Rheumatology Review by
Cover of the book Growth Through Innovation by
Cover of the book Methods and Techniques of Signal Processing in Physical Measurements by
Cover of the book Nonlinear Dynamics New Directions by
Cover of the book Computer Vision for Driver Assistance by
Cover of the book Mind in Action by
Cover of the book Systems and Frameworks for Computational Morphology by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy