Advanced Computational Methods for Knowledge Engineering

Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017

  • Nguyen-Thinh Le
  • Tien van Do
  • Ngoc Thanh Nguyen
  • Hoai An Le Thi
Conference proceedings ICCSAMA 2017

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 629)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran
    Pages 1-12
  3. Dina Subkhankulova, Artem Baklanov, David McCollum
    Pages 47-59
  4. Prashant Bhopale, Pratik Bajaria, Navdeep Singh, Faruk Kazi
    Pages 60-71
  5. Roberto Araya, Carlos Aguirre, Patricio Calfucura, Paulina Jaure
    Pages 84-94
  6. Quang Hai Bang Tran, Thi Hai Binh Nguyen, Phong Nha Tran, Thi Thanh Nga Tran, Quang Dieu Tran
    Pages 95-106
  7. Atsushi Ashida, Tomoko Kojiri
    Pages 107-116
  8. Linh T. T. Nguyen, Loan T. T. Nguyen, Bay Vo
    Pages 117-128
  9. Dinh Nguyen, Khuong Vo, Dang Pham, Mao Nguyen, Tho Quan
    Pages 129-140
  10. Harry Luna-Aveiga, José Medina-Moreira, Katty Lagos-Ortiz, Oscar Apolinario, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate et al.
    Pages 141-152
  11. Michele Della Ventura
    Pages 165-174
  12. Nguyen-Truong Le, Joachim Warschat, Tobias Farrenkopf
    Pages 175-183
  13. Julia Masche, Nguyen-Thinh Le
    Pages 212-225

About these proceedings

Introduction

These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management.

In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.

Keywords

Knowledge Engineering Computational Intelligence Intelligent Computing ICCSAMA 2017 Mathematical Programming Mathematical Optimization

Editors and affiliations

  • Nguyen-Thinh Le
    • 1
  • Tien van Do
    • 2
  • Ngoc Thanh Nguyen
    • 3
  • Hoai An Le Thi
    • 4
  1. 1.Department of InformaticsHumboldt-Universität zu BerlinBerlinGermany
  2. 2.Department of Networked Systems and ServicesBudapest University of Technology and EconomicsBudapestHungary
  3. 3.Department of Information SystemsWrocław University of Science and TechnologyWroclawPoland
  4. 4.Theoretical and Applied Computer Science LaboratoryUniversity of LorraineMetzFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61911-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-61910-1
  • Online ISBN 978-3-319-61911-8
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book