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 Modern Optimization with R by
Cover of the book Systems Thinking for School Leaders by
Cover of the book Manual of Gynecardiology by
Cover of the book Bioactive Compounds in Agricultural Soils by
Cover of the book Computational Geotechnics by
Cover of the book Management of Chemotherapy-Induced Nausea and Vomiting by
Cover of the book Cyber Security and Privacy by
Cover of the book The Phenomenological Critique of Mathematisation and the Question of Responsibility by
Cover of the book The Uncertain Future of American Public Higher Education by
Cover of the book Sport and Oral Health by
Cover of the book Intelligent Fixtures for the Manufacturing of Low Rigidity Components by
Cover of the book Communities of Practice: Art, Play, and Aesthetics in Early Childhood by
Cover of the book The Design and Engineering of Curiosity by
Cover of the book Advances in Artificial Intelligence and Soft Computing by
Cover of the book Discovery of the First Asteroid, Ceres 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