Data Analytics and Management in Data Intensive Domains

XIX International Conference, DAMDID/RCDL 2017, Moscow, Russia, October 10–13, 2017, Revised Selected Papers

  • Leonid Kalinichenko
  • Yannis Manolopoulos
  • Oleg Malkov
  • Nikolay Skvortsov
  • Sergey Stupnikov
  • Vladimir Sukhomlin
Conference proceedings DAMDID/RCDL 2017

Part of the Communications in Computer and Information Science book series (CCIS, volume 822)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Data Analytics

    1. Front Matter
      Pages 1-1
    2. Yannic Ole Kropp, Bernhard Thalheim
      Pages 3-18
    3. Svetla Boytcheva, Galia Angelova, Zhivko Angelov, Dimitar Tcharaktchiev
      Pages 19-33
  3. Next Generation Genomic Sequencing: Challenges and Solutions

    1. Front Matter
      Pages 35-35
    2. Stefano Ceri, Anna Bernasconi, Arif Canakoglu, Andrea Gulino, Abdulrahman Kaitoua, Marco Masseroli et al.
      Pages 46-57
  4. Novel Approaches to Analyzing and Classifying of Various Astronomical Entities and Events

    1. Front Matter
      Pages 59-59
    2. Massimo Brescia, Stefano Cavuoti, Valeria Amaro, Giuseppe Riccio, Giuseppe Angora, Civita Vellucci et al.
      Pages 61-72
    3. Giuseppe Angora, Massimo Brescia, Stefano Cavuoti, Giuseppe Riccio, Maurizio Paolillo, Thomas H. Puzia
      Pages 86-101
    4. Nikolay A. Skvortsov, Leonid A. Kalinichenko, Alexey V. Karchevsky, Dana A. Kovaleva, Oleg Yu. Malkov
      Pages 102-112
    5. Sergei V. Vereshchagin, Ekaterina S. Postnikova
      Pages 113-127
  5. Ontology Population in Data Intensive Domains

    1. Front Matter
      Pages 139-139
    2. Yury Zagorulko, Olesya Borovikova, Galina Zagorulko
      Pages 141-156
    3. Marina Riga, Panagiotis Mitzias, Efstratios Kontopoulos, Ioannis Kompatsiaris
      Pages 157-168
    4. Andrey Bart, Vladislava Churuksaeva, Alexander Fazliev, Evgeniy Gordov, Igor Okladnikov, Alexey Privezentsev et al.
      Pages 169-182
  6. Heterogeneous Data Integration Issues

    1. Front Matter
      Pages 183-183
    2. Adilbek Erkimbaev, Vladimir Zitserman, Georgii Kobzev, Andrey Kosinov
      Pages 185-197
  7. Data Curation and Data Provenance Support

    1. Front Matter
      Pages 247-247
    2. Vasily Bunakov, Alexander Atamas, Alexia de Casanove, Pascal Dugénie, Rene van Horik, Simon Lambert et al.
      Pages 249-263
  8. Temporal Summaries Generation

    1. Front Matter
      Pages 265-265
  9. Back Matter
    Pages 281-281

About these proceedings


This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017.

The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation.


artificial intelligence big data classification cloud computing data handling data integration data intensive analysis data intensive domains data mining data storage databases decision support systems information retrieval machine learning MapReduce ontologies semantics software engineering Support Vector Machines (SVM)

Editors and affiliations

  • Leonid Kalinichenko
    • 1
  • Yannis Manolopoulos
    • 2
  • Oleg Malkov
    • 3
  • Nikolay Skvortsov
    • 4
  • Sergey Stupnikov
    • 5
  • Vladimir Sukhomlin
    • 6
  1. 1.Federal Research Center “Computer Science and Control”Russian Academy of SciencesMoscowRussia
  2. 2.Open University of CyprusLatsiaCyprus
  3. 3.Institute of AstronomyRussian Academy of SciencesMoscowRussia
  4. 4.Federal Research Center “Computer Science and Control”Russian Academy of SciencesMoscowRussia
  5. 5.Federal Research Center “Computer Science and Control”Russian Academy of SciencesMoscowRussia
  6. 6.Moscow State UniversityMoscowRussia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-96552-9
  • Online ISBN 978-3-319-96553-6
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • Buy this book on publisher's site