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Data Analytics and Management in Data Intensive Domains

XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Leonid Kalinichenko

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

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    You can also search for this editor in PubMed   Google Scholar

  2. Sergei O. Kuznetsov

    1. National Research University Higher School of Economics, Moscow, Russia

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    You can also search for this editor in PubMed   Google Scholar

  3. Yannis Manolopoulos

    1. Aristotle University of Thessaloniki, Thessaloniki, Greece

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 706)

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-XII
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  2. Semantic Modeling in Data Intensive Domains

    1. Front Matter

      Pages 1-1
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    2. Conceptualization of Methods and Experiments in Data Intensive Research Domains

      • Nikolay A. Skvortsov, Leonid A. Kalinichenko, Dmitry Yu Kovalev
      Pages 3-17

    3. Semantic Search in a Personal Digital Library

      • Dmitriy Malakhov, Yuri Sidorenko, Olga Ataeva, Vladimir Serebryakov
      Pages 18-30

  3. Knowledge and Learning Management

    1. Front Matter

      Pages 31-31
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    2. Digital Ecosystem OntoMath: Mathematical Knowledge Analytics and Management

      • Alexander Elizarov, Alexander Kirillovich, Evgeny Lipachev, Olga Nevzorova
      Pages 33-46

    3. Development of Fuzzy Cognitive Map for Optimizing E-learning Course

      • Vasiliy S. Kireev
      Pages 47-56

  4. Text Mining

    1. Front Matter

      Pages 57-57
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    2. Supporting Biological Pathway Curation Through Text Mining

      • Sophia Ananiadou, Paul Thompson
      Pages 59-73

    3. Text Processing Framework for Emergency Event Detection in the Arctic Zone

      • Dmitry Devyatkin, Artem Shelmanov
      Pages 74-88

    4. Fact Extraction from Natural Language Texts with Conceptual Modeling

      • Mikhail Bogatyrev
      Pages 89-102

  5. Data Infrastructures in Astrophysics

    1. Front Matter

      Pages 103-103
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    2. Hybrid Distributed Computing Service Based on the DIRAC Interware

      • Victor Gergel, Vladimir Korenkov, Igor Pelevanyuk, Matvey Sapunov, Andrei Tsaregorodtsev, Petr Zrelov
      Pages 105-118

    3. Hierarchical Multiple Stellar Systems

      • Nikolay A. Skvortsov, Leonid A. Kalinichenko, Dana A. Kovaleva, Oleg Y. Malkov
      Pages 119-129

    4. Observations of Transient Phenomena in BSA Radio Survey at 110 MHz

      • Vladimir A. Samodurov, Alexey S. Pozanenko, Alexander E. Rodin, Dmitry D. Churakov, Dmitry V. Dumskij, Evgeny A. Isaev et al.
      Pages 130-141

  6. Data Analysis

    1. Front Matter

      Pages 143-143
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    2. Semantics and Verification of Entity Resolution and Data Fusion Operations via Transformation into a Formal Notation

      • Sergey Stupnikov
      Pages 145-162

    3. A Study of Several Matrix-Clustering Vertical Partitioning Algorithms in a Disk-Based Environment

      • Viacheslav Galaktionov, George Chernishev, Kirill Smirnov, Boris Novikov, Dmitry A. Grigoriev
      Pages 163-177

    4. Clustering of Goods and User Profiles for Personalizing in E-commerce Recommender Systems Based on Real Implicit Data

      • Victor N. Zakharov, Stanislav A. Philippov
      Pages 178-191

    5. On Data Persistence Models for Mobile Crowdsensing Applications

      • Dmitry Namiot, Manfred Sneps-Sneppe
      Pages 192-204
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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 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.

The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.

 

 

Editors and Affiliations

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

    Leonid Kalinichenko

  • National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  • Aristotle University of Thessaloniki, Thessaloniki, Greece

    Yannis Manolopoulos

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