Analysis of Images, Social Networks and Texts

6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers

  • Wil M.P. van der Aalst
  • Dmitry I. Ignatov
  • Michael Khachay
  • Sergei O. Kuznetsov
  • Victor Lempitsky
  • Irina A. Lomazova
  • Natalia Loukachevitch
  • Amedeo Napoli
  • Alexander Panchenko
  • Panos M. Pardalos
  • Andrey V. Savchenko
  • Stanley Wasserman
Conference proceedings AIST 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10716)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10716)

Table of contents

  1. Front Matter
    Pages I-XXX
  2. Natural Language Processing

    1. Front Matter
      Pages 1-1
    2. Elena I. Bolshakova, Alexander S. Sapin
      Pages 22-33
    3. Oleg Durandin, Alexey Malafeev, Nikolai Zolotykh
      Pages 34-46
    4. Natalia Loukachevitch, Michael Nokel, Kirill Ivanov
      Pages 59-71
    5. Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung
      Pages 82-93
    6. Dmitry Ustalov, Mikhail Chernoskutov, Chris Biemann, Alexander Panchenko
      Pages 94-105
    7. Ekaterina Vylomova, Andrei Shcherbakov, Yuriy Philippovich, Galina Cherkasova
      Pages 106-115
  3. General Topics of Data Analysis

    1. Front Matter
      Pages 129-129
    2. Anton V. Eremeev, Alexander V. Kelmanov, Artem V. Pyatkin, Igor A. Ziegler
      Pages 142-151
    3. Fedor Krasnov, Nikolay Glavnov, Alexander Sitnikov
      Pages 164-171
    4. Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov
      Pages 183-196

About these proceedings

Introduction

This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017.

The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.

Keywords

analysis of images and video artificial intelligence classification cluster analysis computational linguistics data mining graph theory image analysis information retrieval internet machine learning natural language processing (NLP) neural networks pattern recognition problem solving semantics signal processing social network analysis Support Vector Machines (SVM) text mining

Editors and affiliations

  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.National Research University Higher School of EconomicsMoscowRussia
  3. 3.Krasovsky Institute of Mathematics and MechanicsEkaterinburgRussia
  4. 4.National Research University Higher School of EconomicsMoscowRussia
  5. 5.Skolkovo Institute of Science and TechnologyMoscowRussia
  6. 6.National Research University Higher School of EconomicsMoscowRussia
  7. 7.Moscow State UniversityMoscowRussia
  8. 8.LORIA, Campus ScientifiqueVandœuvre lès NancyFrance
  9. 9.University of HamburgHamburgGermany
  10. 10.University of FloridaGainesvilleUSA
  11. 11.National Research University Higher School of EconomicsNizhny NovgorodRussia
  12. 12.Indiana UniversityBloomingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-73013-4
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-73012-7
  • Online ISBN 978-3-319-73013-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book