Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017

Part I

  • Leszek Borzemski
  • Jerzy Świątek
  • Zofia Wilimowska
Conference proceedings ISAT 2017

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 655)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Artificial Intelligence Methods

    1. Front Matter
      Pages 1-1
    2. Dariusz Kucharski, Dominik Grochala, Marcin Kajor, Eliasz Kańtoch
      Pages 3-14
    3. Marcin Studniarski, Radhwan Al-Jawadi, Aisha Younus
      Pages 48-58
    4. Małgorzata Plechawska-Wójcik, Magdalena Borys, Mikhail Tokovarov, Monika Kaczorowska
      Pages 59-72
  3. Knowledge Discovery and Data Mining

    1. Front Matter
      Pages 83-83
    2. Dariusz Pałka, Marek Zachara, Krzysztof Wójcik
      Pages 95-106
    3. Pawel Cyrta, Tomasz Trzciński, Wojciech Stokowiec
      Pages 107-117
    4. Peter Butka, Miroslav Smatana, Veronika Novotná
      Pages 128-137
    5. Zakaria Saoud, Jan Platoš
      Pages 149-158
  4. Big Data, Knowledge Discovery and Data Mining, Knowledge Based Management

    1. Front Matter
      Pages 159-159
    2. Miroslava Muchová, Ján Paralič, Michael Nemčík
      Pages 161-170
    3. Manav Masrani, Poornalatha G.
      Pages 171-181

About these proceedings

Introduction

This three-volume set of books presents advances in the development of concepts and techniques in the area of new technologies and contemporary information system architectures. It guides readers through solving specific research and analytical problems to obtain useful knowledge and business value from the data. Each chapter provides an analysis of a specific technical problem, followed by the numerical analysis, simulation and implementation of the solution to the problem.
 
The books constitute the refereed proceedings of the 2017 38th International Conference “Information Systems Architecture and Technology,” or ISAT 2017, held on September 17–19, 2017 in Szklarska Poręba, Poland. The conference was organized by the Computer Science and Management Systems Departments, Faculty of Computer Science and Management, Wroclaw University of Technology, Poland. The papers have been organized into topical parts:
 
Part I— includes discourses on topics including, but not limited to, Artificial Intelligence Methods, Knowledge Discovery and Data Mining, Big Data, Knowledge Discovery and Data Mining, Knowledge Based Management, Internet of Things, Cloud Computing and High Performance Computing, Distributed Computer Systems, Content Delivery Networks, and Service Oriented Computing.
 
Part II—addresses topics including, but not limited to, System Modelling for Control, Recognition and Decision Support, Mathematical Modelling in Computer System Design, Service Oriented Systems and Cloud Computing and Complex Process Modeling.
 
Part III—deals with topics including, but not limited to, Modeling of Manufacturing Processes, Modeling an Investment Decision Process, Management of Innovation, Management of Organization.

Keywords

Risk Management Information Systems Information Systems Architecture Computer Networks ISAT 2017

Editors and affiliations

  • Leszek Borzemski
    • 1
  • Jerzy Świątek
    • 2
  • Zofia Wilimowska
    • 3
  1. 1.Department of Computer Science, Faculty of Computer Science and ManagementWrocław University of Science and TechnologyWrocławPoland
  2. 2.Department of Computer Science, Faculty of Computer Science and ManagementWrocław University of Science and TechnologyWrocławPoland
  3. 3.Department of Management Systems, Faculty of Computer Science and ManagementWrocław University of Science and TechnologyWrocławPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67220-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-67219-9
  • Online ISBN 978-3-319-67220-5
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book