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Data Analytics and Management in Data Intensive Domains

23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26–29, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Alexei Pozanenko

    1. Space Research Institute of the Russian Academy of Sciences, Moscow, Russia

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  2. Sergey Stupnikov

    1. Federal Research Center “Computer Science and Control” of RAS, Moscow, Russia

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  3. Bernhard Thalheim

    1. Christian-Albrecht University of Kiel, Kiel, Germany

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  4. Eva Mendez

    1. Universidad Carlos III de Madrid, Getafe, Spain

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  5. Nadezhda Kiselyova

    1. A. A. Baikov Institute of Metallurgy and Materials Science of RAS (IMET RAS), Moscow, Russia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1620)

Included in the following conference series:

Conference proceedings info: DAMDID/RCDL 2021.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xiv
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  2. Problem Solving Infrastructures, Experiment Organization, and Machine Learning Applications

    1. Front Matter

      Pages 1-1
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    2. MLDev: Data Science Experiment Automation and Reproducibility Software

      • Anton Khritankov, Nikita Pershin, Nikita Ukhov, Artem Ukhov
      Pages 3-18

    3. Response to Cybersecurity Threats of Informational Infrastructure Based on Conceptual Models

      • Nikolay Kalinin, Nikolay Skvortsov
      Pages 19-35

    4. Social Network Analysis of the Professional Community Interaction—Movie Industry Case

      • Ilia Karpov, Roman Marakulin
      Pages 36-50

  3. Data Analysis in Astronomy

    1. Front Matter

      Pages 51-51
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    2. Cross-Matching of Large Sky Surveys and Study of Astronomical Objects Apparent in Ultraviolet Band Only

      • Aleksandra S. Avdeeva, Sergey V. Karpov, Oleg Yu. Malkov, Gang Zhao
      Pages 53-73

    3. The Diversity of Light Curves of Supernovae Associated with Gamma-Ray Bursts

      • Sergey Belkin, Alexei Pozanenko
      Pages 74-91

    4. Application of Machine Learning Methods for Cross-Matching Astronomical Catalogues

      • Aleksandra Kulishova, Dmitry Briukhov
      Pages 92-103

    5. Pipeline for Detection of Transient Objects in Optical Surveys

      • Nicolai Pankov, Alexei Pozanenko, Vladimir Kouprianov, Sergey Belkin
      Pages 104-134

    6. VALD in Astrophysics

      • Yury Pakhomov, Tatiana Ryabchikova
      Pages 135-148

  4. Data Analysis in Material and Earth Sciences

    1. Front Matter

      Pages 149-149
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    2. Machine Learning Application to Predict New Inorganic Compounds – Results and Perspectives

      • Nadezhda Kiselyova, Victor Dudarev, Andrey Stolyarenko
      Pages 151-165

    3. Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis

      • Martin Horsch, Taras Petrenko, Volodymyr Kushnarenko, Bjoern Schembera, Bianca Wentzel, Alexander Behr et al.
      Pages 166-177

    4. Fast Predictions of Lattice Energies by Continuous Isometry Invariants of Crystal Structures

      • Jakob Ropers, Marco M. Mosca, Olga Anosova, Vitaliy Kurlin, Andrew I. Cooper
      Pages 178-192

    5. Image Recognition for Large Soil Maps Archive Overview: Metadata Extraction and Georeferencing Tool Development

      • Nadezda A. Vasilyeva, Artem Vladimirov, Taras Vasiliev
      Pages 193-204

  5. Information Extraction from Text

    1. Front Matter

      Pages 205-205
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    2. Cross-Lingual Plagiarism Detection Method

      • Denis Zubarev, Ilya Tikhomirov, Ilya Sochenkov
      Pages 207-222

    3. Methods for Automatic Argumentation Structure Prediction

      • Ilya Dimov, Boris Dobrov
      Pages 223-233

    4. A System for Information Extraction from Scientific Texts in Russian

      • Elena Bruches, Anastasia Mezentseva, Tatiana Batura
      Pages 234-245
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Keywords

About this book

This book constitutes the post-conference proceedings of the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*.
The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experiment organization, and machine learning applications; data analysis in astronomy; data analysis in material and earth sciences; information extraction from text


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

Editors and Affiliations

  • Space Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Alexei Pozanenko

  • Federal Research Center “Computer Science and Control” of RAS, Moscow, Russia

    Sergey Stupnikov

  • Christian-Albrecht University of Kiel, Kiel, Germany

    Bernhard Thalheim

  • Universidad Carlos III de Madrid, Getafe, Spain

    Eva Mendez

  • A. A. Baikov Institute of Metallurgy and Materials Science of RAS (IMET RAS), Moscow, Russia

    Nadezhda Kiselyova

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