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Advanced Computational Methods for Knowledge Engineering

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

  • Conference proceedings
  • © 2018

Overview

  • Presents recent advances in Computational Methods for Knowledge Engineering
  • Gathers the Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017, held June 30–July 1, 2017, in Berlin, Germany
  • Includes contributions concerning the links between computer science and applied mathematics, as well as solutions to real-life problems
  • Includes supplementary material: sn.pub/extras

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

Included in the following conference series:

Conference proceedings info: ICCSAMA 2017.

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Table of contents (19 papers)

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  1. Advanced Computational Methods for Knowledge Engineering

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About this book

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.

Editors and Affiliations

  • Department of Informatics, Humboldt-Universität zu Berlin, Berlin, Germany

    Nguyen-Thinh Le

  • Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary

    Tien van Do

  • Department of Information Systems, Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  • Theoretical and Applied Computer Science Laboratory, University of Lorraine, Metz, France

    Hoai An Le Thi

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