Advances in Business ICT: New Ideas from Ongoing Research

  • Tomasz Pełech-Pilichowski
  • Maria Mach-Król
  • Celina M. Olszak

Part of the Studies in Computational Intelligence book series (SCI, volume 658)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Tommy Baumann, Bernd Pfitzinger, Thomas Jestädt, Dragan Macos
    Pages 17-26
  3. Paweł Kaplanski, Pawel Weichbroth
    Pages 27-43
  4. Krzysztof Kluza, Grzegorz J. Nalepa, Mateusz Ślażyński, Krzysztof Kutt, Edyta Kucharska, Krzysztof Kaczor et al.
    Pages 45-64
  5. Anna Suchenia, Tomasz Potempa, Antoni Ligęza, Krystian Jobczyk, Krzysztof Kluza
    Pages 65-85
  6. Bogdan Rȩbiasz, Bartłomiej Gaweł, Iwona Skalna
    Pages 87-104
  7. Lubomyr Petryshyn, Tomasz Pełech-Pilichowski
    Pages 125-135

About this book


This book discusses the effective use of modern ICT solutions for business needs, including the efficient use of IT resources, decision support systems, business intelligence, data mining and advanced data processing algorithms, as well as the processing of large datasets (inter alia social networking such as Twitter and Facebook, etc.). The ability to generate, record and process qualitative and quantitative data, including in the area of big data, the Internet of Things (IoT) and cloud computing offers a real prospect of significant improvements for business, as well as the operation of a company within Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge representation, management and processing, quantitative and qualitative data processing (including sentiment analysis), problems of simulation performance, and the use of advanced signal processing to increase the speed of computation. The solutions presented are also aimed at the effective use of business process modeling and notation (BPMN), business process semantization and investment project portfolio selection. It is a valuable resource for researchers, data analysts, entrepreneurs and IT professionals alike, and the research findings presented make it possible to reduce costs, increase the accuracy of investment, optimize resources and streamline operations and marketing.


Computational Intelligence ICT ICT for Business ICT for Industry ICT for the Public Sector

Editors and affiliations

  • Tomasz Pełech-Pilichowski
    • 1
  • Maria Mach-Król
    • 2
  • Celina M. Olszak
    • 3
  1. 1.AGH University of Science and TechnologyKrakówPoland
  2. 2.University of Economics in KatowiceKatowicePoland
  3. 3.University of Economics in KatowiceKatowicePoland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-47207-2
  • Online ISBN 978-3-319-47208-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences