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Data Stream Mining & Processing

Third International Conference, DSMP 2020, Lviv, Ukraine, August 21–25, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Sergii Babichev

    1. Department of Informatics, Univerzita Jana Evangelisty Purkyně v Ústí nad Labem, Ústí nad Labem, Czech Republic

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  2. Dmytro Peleshko

    1. GeoGuard, Kharkiv, Ukraine

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  3. Olena Vynokurova

    1. Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1158)

Included in the following conference series:

Conference proceedings info: DSMP 2020.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xiv
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  2. Hybrid Systems of Computational Intelligence

    1. Front Matter

      Pages 1-1
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    2. On-Line Relaxation Versus Off-Line Spectral Algorithm in the Learning of Polynomial Neural Units

      • Vladyslav Kotsovsky, Anatoliy Batyuk
      Pages 3-21

    3. The Principles of Organizing the Search for an Object in an Image, Tracking an Object and the Selection of Informative Features Based on the Visual Perception of a Person

      • Vitaliy Boyun
      Pages 22-44

    4. Software and Algorithmic Support for Finite-Element Analysis of Anisotropic Heat-and-Mass Transfer Using Parallel and Cloud Technologies

      • Yaroslav Sokolovskyy, Andriy Nechepurenko, Ivan Sokolovskyy, Olha Mokrytska
      Pages 45-61

    5. Hybrid Deep Convolutional Neural Network with Multimodal Fusion

      • Olena Vynokurova, Dmytro Peleshko, Marta Peleshko
      Pages 62-78

    6. Modeling and Forecasting of Innovative, Scientific and Technical Activity Indicators Under Unstable Economic Situation in the Country: Case of Ukraine

      • Liubov Halkiv, Oleh Karyy, Ihor Kulyniak, Solomiya Ohinok
      Pages 79-97

    7. The Issue of Efficient Generation of Generalized Features in Algorithmic Classification Tree Methods

      • Igor Povkhan, Maksym Lupei, Mykhailo Kliap, Vasyl Laver
      Pages 98-113

    8. Technique of Metals Strength Properties Diagnostics Based on the Complex Use of Fuzzy Inference System and Hybrid Neural Network

      • Sergii Babichev, Bohdan Durnyak, Oleksandr Sharko, Artem Sharko
      Pages 114-126

    9. Noise-Resistant Non-equidistant Data Conversion

      • Oleg Riznyk, Olga Myaus, Yurii Kynash, Roman Martsyshyn, Yuliya Miyushkovych
      Pages 127-139

    10. An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting

      • Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko
      Pages 140-149

    11. Comparison Analysis of Clustering Quality Criteria Using Inductive Methods of Objective Clustering

      • Sergii Babichev, Aleksander Spivakovskiy, Jiří Škvor
      Pages 150-166

    12. Assessing the Investment Risk of Virtual IT Company Based on Machine Learning

      • Hrystyna Lipyanina, Valeriya Maksymovych, Anatoliy Sachenko, Taras Lendyuk, Andrii Fomenko, Ivan Kit
      Pages 167-187

    13. Methodological Support for the Management of Maintaining Financial Flows of External Tourism in Global Risky Conditions

      • Marharyta Sharko, Olha Liubchuk, Vira Fomishyna, Yuliia Yarchenko, Nadiia Fedorova, Natalia Petrushenko et al.
      Pages 188-201

    14. Technology for Determining the Residual Life of Metal Structures Under Conditions of Combined Loading According to Acoustic Emission Measurements

      • Volodymyr Marasanov, Dmitry Stepanchikov, Artem Sharko, Oleksandr Sharko
      Pages 202-217

    15. Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass Spectra

      • Serge Olszewski, Yeva Zajets, Violetta Demchenko, Oleg Boskin, Mariia Voronenko, Volodymyr Lytvynenko et al.
      Pages 218-237

  3. Machine Vision and Pattern Recognition

    1. Front Matter

      Pages 239-239
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    2. Statistical Methods for Analyzing and Processing Data Components When Recognizing Visual Objects in the Space of Key Point Descriptors

      • Volodymyr Gorokhovatskyi, Svitlana Gadetska, Oleksii Gorokhovatskyi, Roman Ponomarenko
      Pages 241-252

    3. Sewer Pipe Defects Classification Based on Deep Convolutional Network with Information-Extreme Error-Correction Decision Rules

      • Viacheslav Moskalenko, Mykola Zaretskyi, Alona Moskalenko, Viktor Lysyuk
      Pages 253-263

    4. Critical Modes of Photography: Light Sensitivity and Resolution

      • Maksym Korobchynskyi, Mykhailo Slonov, Myhailo Rudenko, Oleksandr Maryliv, Valentyn Pylypchuk
      Pages 264-274
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  1. Data Stream Mining & Processing

Keywords

About this book

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held in Lviv, Ukraine*, in August 2020.

The 36 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections of ​hybrid systems of computational intelligence; machine vision and pattern recognition; dynamic data mining & data stream mining; big data & data science using intelligent approaches.

*The conference was held virtually due to the COVID-19 pandemic.

Editors and Affiliations

  • Department of Informatics, Univerzita Jana Evangelisty Purkyně v Ústí nad Labem, Ústí nad Labem, Czech Republic

    Sergii Babichev

  • GeoGuard, Kharkiv, Ukraine

    Dmytro Peleshko

  • Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

    Olena Vynokurova

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