Intelligent Data Engineering and Automated Learning – IDEAL 2015

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

  • Konrad Jackowski
  • Robert Burduk
  • Krzysztof Walkowiak
  • Michal Wozniak
  • Hujun Yin

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9375)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9375)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Radosław Z. Ziembiński
    Pages 1-8
  3. Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev
    Pages 9-17
  4. Sergio González, Francisco Herrera, Salvador García
    Pages 53-60
  5. Leandro Antonio Pasa, José Alfredo F. Costa, Marcial Guerra de Medeiros
    Pages 77-86
  6. Alexandre Szabo, Myriam Regattieri Delgado, Leandro Nunes de Castro
    Pages 87-95
  7. Danilo Souza da Cunha, Rafael Silveira Xavier, Leandro Nunes de Castro
    Pages 96-103
  8. Abdelwaheb Ferchichi, Mohamed Salah Gouider, Lamjed Ben Said
    Pages 113-120
  9. Juan L. Domínguez-Olmedo, Jacinto Mata Vázquez, Victoria Pachón
    Pages 138-145

About these proceedings


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.


Bioinformatics Data mining Evolutionary computation Machine learning Neural networks Cloud computing Combinatorial optimization Computer vision problems Data streams Distributed artificial intelligence Genetic algorithms Information retrieval Intrusion detection Multi-agent systems Parallel computing Pattern recognition Recommender systems Semantic Web Semi-supervised learning Social networks

Editors and affiliations

  • Konrad Jackowski
    • 1
  • Robert Burduk
    • 2
  • Krzysztof Walkowiak
    • 3
  • Michal Wozniak
    • 4
  • Hujun Yin
    • 5
  1. 1.Wroclaw University of TechnologyWroclawPoland
  2. 2.Department of SystemsWroclaw University of TechnologyWroclawPoland
  3. 3.Wroclaw Univ of TechWroclawPoland
  4. 4.Wroclaw University of TechnologyFaculty of ElectronicsWroclawPoland
  5. 5.School of Electrical & Electronic EUniversity of ManchesterManchesterUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-24833-2
  • Online ISBN 978-3-319-24834-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book