© 2016

Artificial Intelligence: Methodology, Systems, and Applications

17th International Conference, AIMSA 2016, Varna, Bulgaria, September 7-10, 2016, Proceedings

  • Christo Dichev
  • Gennady Agre
Conference proceedings AIMSA 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9883)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9883)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Machine Learning and Data Mining

    1. Front Matter
      Pages 1-1
    2. Gennady Agre, Anton Dzhondzhorov
      Pages 14-25
    3. Farhana Ferdousi Liza, Marek Grześ
      Pages 46-56
    4. Ivelina Nikolova, Svetla Boytcheva, Galia Angelova, Zhivko Angelov
      Pages 57-67
    5. Darko Brodić, Alessia Amelio, Ivo R. Draganov
      Pages 78-88
    6. Alexander Vikent’ev, Mikhail Avilov
      Pages 89-98
    7. Jan Géryk, Luboš Popelínský, Jozef Triščík
      Pages 99-108
    8. Marian Cristian Mihăescu, Alexandru Virgil Tănasie, Mihai Dascalu, Stefan Trausan-Matu
      Pages 109-118
  3. Natural Language Processing and Sentiment Analysis

    1. Front Matter
      Pages 119-119
    2. Mihaela Balint, Mihai Dascalu, Stefan Trausan-Matu
      Pages 121-129
    3. Kiril Simov, Petya Osenova, Alexander Popov
      Pages 130-139
    4. Olga Kanishcheva, Galia Angelova, Stavri G. Nikolov
      Pages 140-150
    5. Tariq Ahmad, Allan Ramsay
      Pages 151-161
    6. Hazal Türkmen, Ekin Ekinci, Sevinç İlhan Omurca
      Pages 162-171
    7. Momchil Hardalov, Ivan Koychev, Preslav Nakov
      Pages 172-180

About these proceedings


This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2016, held in Varna, Bulgaria in September 2015.

The 32 revised full papers 6 poster papers presented were carefully reviewed and selected from 86 submissions. They cover a wide range of topics in AI: from machine learning to natural language systems, from information extraction to text mining, from knowledge representation to soft computing; from theoretical issues to real-world applications.


ant colony optimization data mining intelligent agents recommender systems soft computing anomaly detection constraint logic programming decision making deep learning feature selection image processing machine learning meta-learning multi-agent systems natural language processing ontologies optical character recognition simulated annealing text classification word sense disambiguation

Editors and affiliations

  • Christo Dichev
    • 1
  • Gennady Agre
    • 2
  1. 1.Winston-Salem State UniversityWinston SalemUSA
  2. 2.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria

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