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Data-Centric Business and Applications

Evolvements in Business Information Processing and Management (Volume 3)

  • Book
  • © 2020

Overview

Editors:
  1. Dmytro Ageyev

    1. Department of Infocommunication Engineering, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

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  2. Tamara Radivilova

    1. Department of Infocommunication Engineering, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

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  3. Natalia Kryvinska

    1. Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Austria

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  • Explores various aspects of data engineering and information processing
  • Covers essential topics in data-centric business, such as information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information
  • Discusses key processes and procedures used in information/data processing and management

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 42)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
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  2. FinTech, RegTech and Traditional Financial Intermediation: Trends and Threats for Financial Stability

    • Natalia Pantielieieva, Myroslava Khutorna, Olesia Lytvynenko, Liudmyla Potapenko
    Pages 1-21

  3. Data-Centric Formation of Marketing Logistic Business Model of Vegetable Market Due to Zonal Specialization

    • Volodymyr Pysarenko, Olena Ponochovna, Maria Bahorka, Volodymyr Voronyansky
    Pages 23-49

  4. Optimization of the Process of Determining the Effectiveness of Advertising Communication

    • Bohdan Kovalskyi, Tetyana Holubnyk, Myroslava Dubnevych, Nadiia Pysanchyn, Zoryana Selmenska
    Pages 51-72

  5. Using Recurrent Neural Networks for Data-Centric Business

    • Serhii Leoshchenko, Andrii Oliinyk, Sergey Subbotin, Tetiana Zaiko
    Pages 73-91

  6. System Model for Decision Making Support in Logistics and Quality Management Business Processes of Manufacture Enterprise

    • Yuliia Leshchenko, Alina Yelizieva
    Pages 93-113

  7. Machine Learning Methods Applications for Estimating Unevenness Level of Regional Development

    • Liubov Chagovets, Vita Chahovets, Natalia Chernova
    Pages 115-139

  8. Formal Modeling of Decision-Making Processes Under Transboundary Emergency Conditions

    • Olga Cherednichenko, Olha Yanholenko, Maryna Vovk, Vasyl Tkachenko
    Pages 141-162

  9. Decision-Making Support System for Experts of Penal Law

    • Alexander Alexeyev, Tetiana Solianyk
    Pages 163-182

  10. Infocommunication Tasks of University Information System

    • Sergii Kavun, Olga Zavgorodnia, Anna Petrenko
    Pages 183-203

  11. Advanced Methods and Means of Authentication of Devices for Processing Business Information

    • Elena Nyemkova, Vyacheslav Chaplyha, Jan Ministr, Volodymyr Chaplyha
    Pages 205-228
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Keywords

About this book

Building on the authors’ previous work, this book addresses key processes and procedures used in information/data processing and management. Modern methods of business information processing, which draw on artificial intelligence, big data, and cloud-based storage and processing, are opening exciting new opportunities for doing business on the basis of information technologies. Thus, in this third book, the authors continue to explore various aspects – technological as well as business and social – of the information industries. Further, they analyze the challenges and opportunities entailed by these kinds of business.


Editors and Affiliations

  • Department of Infocommunication Engineering, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

    Dmytro Ageyev, Tamara Radivilova

  • Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Austria

    Natalia Kryvinska

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