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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
  • © 2018

Overview

Editors:
  1. Leonid Kalinichenko

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

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  2. Yannis Manolopoulos

    1. Open University of Cyprus, Latsia, Cyprus

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  3. Oleg Malkov

    1. Institute of Astronomy, Russian Academy of Sciences, Moscow, Russia

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  4. Nikolay Skvortsov

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

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  5. Sergey Stupnikov

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

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  6. Vladimir Sukhomlin

    1. Moscow State University, Moscow, Russia

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

Included in the following conference series:

Conference proceedings info: DAMDID/RCDL 2017.

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Table of contents (19 papers)

  1. Front Matter

    Pages I-XV
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  2. Data Analytics

    1. Front Matter

      Pages 1-1
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    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
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    2. An Introduction to the Computational Challenges in Next Generation Sequencing

      • Zoltan Szallasi
      Pages 37-45

    3. 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
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    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. Fractal Paradigm and IT-Technologies for Processing, Analyzing and Classifying Large Flows of Astronomical Data

      • Alexei V. Myshev, Andrei V. Dunin
      Pages 73-85

    4. Neural Gas Based Classification of Globular Clusters

      • Giuseppe Angora, Massimo Brescia, Stefano Cavuoti, Giuseppe Riccio, Maurizio Paolillo, Thomas H. Puzia
      Pages 86-101

    5. 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

    6. Aggregation of Knowledge on Star Cluster Structure and Kinematics in Data Intensive Astronomy

      • Sergei V. Vereshchagin, Ekaterina S. Postnikova
      Pages 113-127

    7. Search for Short Transient Gamma-Ray Events in SPI Experiment Onboard INTEGRAL: The Algorithm and Results

      • Pavel Minaev, Alexei Pozanenko
      Pages 128-138

  5. Ontology Population in Data Intensive Domains

    1. Front Matter

      Pages 139-139
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    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
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    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
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  1. Data Analytics and Management in Data Intensive Domains

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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

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