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  • Conference proceedings
  • © 2018

Data Analytics and Management in Data Intensive Domains

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

Conference proceedings info: DAMDID/RCDL 2017.

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Table of contents (19 papers)

  1. Front Matter

    Pages I-XV
  2. Data Analytics

    1. Front Matter

      Pages 1-1
    2. Deep Model Guided Data Analysis

      • Yannic Ole Kropp, Bernhard Thalheim
      Pages 3-18
    3. Data Mining and Analytics for Exploring Bulgarian Diabetic Register

      • 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. Overview of GeCo: A Project for Exploring and Integrating Signals from the Genome

      • 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. Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

      • Massimo Brescia, Stefano Cavuoti, Valeria Amaro, Giuseppe Riccio, Giuseppe Angora, Civita Vellucci et al.
      Pages 61-72
    3. Neural Gas Based Classification of Globular Clusters

      • Giuseppe Angora, Massimo Brescia, Stefano Cavuoti, Giuseppe Riccio, Maurizio Paolillo, Thomas H. Puzia
      Pages 86-101
    4. Matching and Verification of Multiple Stellar Systems in the Identification List of Binaries

      • Nikolay A. Skvortsov, Leonid A. Kalinichenko, Alexey V. Karchevsky, Dana A. Kovaleva, Oleg Yu. Malkov
      Pages 102-112
    5. Aggregation of Knowledge on Star Cluster Structure and Kinematics in Data Intensive Astronomy

      • Sergei V. Vereshchagin, Ekaterina S. Postnikova
      Pages 113-127
  5. Ontology Population in Data Intensive Domains

    1. Front Matter

      Pages 139-139
    2. Development of Ontologies of Scientific Subject Domains Using Ontology Design Patterns

      • Yury Zagorulko, Olesya Borovikova, Galina Zagorulko
      Pages 141-156
    3. PROPheT – Ontology Population and Semantic Enrichment from Linked Data Sources

      • Marina Riga, Panagiotis Mitzias, Efstratios Kontopoulos, Ioannis Kompatsiaris
      Pages 157-168
    4. Ontological Description of Applied Tasks and Related Meteorological and Climate Data Collections

      • 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. Integration of Data on Substance Properties Using Big Data Technologies and Domain-Specific Ontologies

      • Adilbek Erkimbaev, Vladimir Zitserman, Georgii Kobzev, Andrey Kosinov
      Pages 185-197

Other Volumes

  1. Data Analytics and Management in Data Intensive Domains

About this book

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.

Editors and Affiliations

  • Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow, Russia

    Leonid Kalinichenko, Nikolay Skvortsov, Sergey Stupnikov

  • Open University of Cyprus, Latsia, Cyprus

    Yannis Manolopoulos

  • Institute of Astronomy, Russian Academy of Sciences, Moscow, Russia

    Oleg Malkov

  • Moscow State University, Moscow, Russia

    Vladimir Sukhomlin

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access