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Data Analytics and Management in Data Intensive Domains

21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15–18, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Alexander Elizarov

    1. Kazan Federal University, Kazan, Russia

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  2. Boris Novikov

    1. National Research University Higher School of Economics, St. Petersburg, Russia

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  3. Sergey Stupnikov

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

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1223)

Included in the following conference series:

Conference proceedings info: DAMDID/RCDL 2019.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-xvi
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  2. Advanced Data Analysis Methods

    1. Front Matter

      Pages 1-1
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    2. Three Simple Approaches to Combining Neural Networks with Algorithms

      • Anton Osokin
      Pages 3-12

    3. Methodology for Automated Identifying Food Export Potential

      • Dmitry Devyatkin, Yulia Otmakhova
      Pages 13-28

  3. Data Infrastructures and Integrated Information Systems

    1. Front Matter

      Pages 29-29
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    2. Integration of the JINR Hybrid Computing Resources with the DIRAC Interware for Data Intensive Applications

      • Vladimir Korenkov, Igor Pelevanyuk, Andrei Tsaregorodtsev
      Pages 31-46

    3. On Information Search Measures and Metrics Within Integration of Information Systems on Inorganic Substances Properties

      • Victor A. Dudarev, Nadezhda N. Kiselyova, Igor O. Temkin
      Pages 47-58

  4. Models, Ontologies and Applications

    1. Front Matter

      Pages 59-59
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    2. Models Are Functioning in Scenarios

      • Bernhard Thalheim
      Pages 61-81

    3. Applied Ontologies for Managing Graphic Resources in Quantitative Spectroscopy

      • Nikolai Lavrentev, Alexei Privezentsev, Alexander Fazliev
      Pages 82-93

  5. Data Analysis in Astronomy

    1. Front Matter

      Pages 95-95
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    2. Realization of Different Techniques for Anomaly Detection in Astronomical Databases

      • Konstantin Malanchev, Vladimir Korolev, Matwey Kornilov, Emille E. O. Ishida, Anastasia Malancheva, Florian Mondon et al.
      Pages 97-107

    3. Modern Astronomical Surveys for Parameterization of Stars and Interstellar Medium

      • Oleg Malkov, Sergey Karpov, Dana Kovaleva, Jayant Murthy, Sergey Sichevsky, Nikolay Skvortsov et al.
      Pages 108-123

    4. Searching for Optical Counterparts of LIGO/Virgo Events in O2 Run

      • Elena Mazaeva, Alexei Pozanenko, Alina Volnova, Pavel Minaev, Sergey Belkin, Raguli Inasaridze et al.
      Pages 124-143

  6. Information Extraction from Text

    1. Front Matter

      Pages 145-145
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    2. Google Books Ngram: Problems of Representativeness and Data Reliability

      • Valery D. Solovyev, Vladimir V. Bochkarev, Svetlana S. Akhtyamova
      Pages 147-162

    3. Method for Expert Search Using Topical Similarity of Documents

      • Denis Zubarev, Dmitry Devyatkin, Ilya Sochenkov, Ilya Tikhomirov, Oleg Grigoriev
      Pages 163-180

    4. Depression Detection from Social Media Profiles

      • Maxim Stankevich, Ivan Smirnov, Natalia Kiselnikova, Anastasia Ushakova
      Pages 181-194

    5. Tatar WordNet: The Sources and the Component Parts

      • Alexander Kirillovich, Alfiya Galieva, Olga Nevzorova, Marat Shaekhov, Natalia Loukachevitch, Dmitry Ilvovsky
      Pages 195-208

  7. Distributed Computing

    1. Front Matter

      Pages 209-209
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Keywords

About this book

This book constitutes the post-conference proceedings of the 21st International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2019, held in Kazan, Russia, in October 2019.

The 11 revised full papers presented together with four invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: advanced data analysis methods; data infrastructures and integrated information systems; models, ontologies and applications; data analysis in astronomy; information extraction from text; distributed computing; data science for education.


Editors and Affiliations

  • Kazan Federal University, Kazan, Russia

    Alexander Elizarov

  • National Research University Higher School of Economics, St. Petersburg, Russia

    Boris Novikov

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

    Sergey Stupnikov

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