Advanced Computational Methods for Knowledge Engineering

Proceedings of the 2nd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2014)

  • Tien van Do
  • Hoai An Le Thi
  • Ngoc Thanh Nguyen
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 282)

Table of contents

  1. Front Matter
    Pages 1-13
  2. Advanced Optimization Methods and Their Applications

    1. Front Matter
      Pages 1-1
    2. Hoai An Le Thi, Van Ngai Huynh, Tao Pham Dinh
      Pages 15-35
    3. Yi-Shuai Niu, Tao Pham Dinh
      Pages 37-63
    4. Phan Duy Nhat, Manh Cuong Nguyen, Hoai An Le Thi
      Pages 65-74
    5. Hoai An Le Thi, Pascal Damel, Nadège Peltre, Nguyen Trong Phuc
      Pages 87-98
  3. Queueing Models and Performance Evaluation

  4. Software Development and Testing

    1. Front Matter
      Pages 141-141
    2. Imre Kelényi, Jukka K. Nurminen, Matti Siekkinen, László Lengyel
      Pages 143-156
    3. Quang Vu Nguyen, Lech Madeyski
      Pages 157-172
    4. Tamás Krejczinger, Binh Thai Vu, Tien Van Do
      Pages 173-183
  5. Computational Methods for Knowledge Engineering

    1. Front Matter
      Pages 185-185
    2. Trong Hai Duong, Tran Hoang Chau Dao, Jason J. Jung, Ngoc Thanh Nguyen
      Pages 201-216

About these proceedings

Introduction

The proceedings consists of 30 papers which have been selected and invited from the submissions to the 2nd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2014) held on 8-9 May, 2014 in Budapest, Hungary. The conference is organized into 7 sessions: Advanced Optimization Methods and Their Applications, Queueing Models and Performance Evaluation, Software Development and Testing, Computational Methods for Mobile and Wireless Networks, Computational Methods for Knowledge Engineering, Logic Based Methods for Decision Making and Data Mining, and Nonlinear Systems and Applications, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Computer Science and Applied Mathematics. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to their research. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book.

Keywords

Computational Intelligence Intelligent Computing Knowledge Engineering Mathematical Programming and Optimization: Theory, Methods and Software

Editors and affiliations

  • Tien van Do
    • 1
  • Hoai An Le Thi
    • 2
  • Ngoc Thanh Nguyen
    • 3
  1. 1.Department of Networked Systems and ServicesBudapest University of Technology and EconomicsBudapestHungary
  2. 2.Ile du SaulcyLITA, UFR MIMMetzFrance
  3. 3.Institute of InformaticsWrocław University of TechnologyWrocławPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06569-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-06568-7
  • Online ISBN 978-3-319-06569-4
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book