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 Cartographies of Race and Social Difference by
Cover of the book Global Supply Chain and Operations Management by
Cover of the book Essential Techniques in Elbow Surgery by
Cover of the book My 10 Strategies for Integrative Coaching by
Cover of the book Caring Management in the New Economy by
Cover of the book Passive Energy Strategies for Mediterranean Residential Buildings by
Cover of the book Kierkegaard After the Genome by
Cover of the book Filtering and Control of Wireless Networked Systems by
Cover of the book Trends and Applications in Knowledge Discovery and Data Mining by
Cover of the book Intelligence and Security Informatics by
Cover of the book French Philosophy of Technology by
Cover of the book Inorganic Polyphosphates in Eukaryotic Cells by
Cover of the book The Coral Reef Era: From Discovery to Decline by
Cover of the book Passivity-Based Control and Estimation in Networked Robotics by
Cover of the book Climate Change in North America 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