The 5th international conference on Analysis of Images, Social Networks, and Texts

AIM AND SCOPE

AIST is a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science. Similar to the previous year, the conference will be focused on applications of data mining and machine learning techniques to various problem domains: image processing, analysis of social networks, and natural language processing. We hope that the participants will benefit from the interdisciplinary nature of the conference and exchange experience.

KEYNOTE SPEAKERS

Mehdi Kaytoue Mehdi Kaytoue,
Institut national des sciences appliquées
Lyon, France

Finding duplicate labels in behavioral data: an application for E-Sport analytics.

Attila Kertesz-Farkas Attila Kertesz-Farkas,
National Research University
Higher School of economics, Moscow, Russia

False discovery rate control for database search methods over heterogeneous biological data.

Radhakrishnan Delhibabu Radhakrishnan Delhibabu,
Kazan Federal University, Kazan, Russia

Analysis of Anisotropic Diffusion in Image Processing.

PAPER TOPICS

  • Social Network Analysis
  • Natural Language Processing
  • Recommender systems and collaborative technologies
  • Analytics for geoinformation systems
  • Analysis of images and video
  • Game analytics
  • Core Data Mining and Machine Learning techniques
  • Semantic Web and Ontologies
  • Educational Data Mining
  • ML & DM for Economics and Social Sciences

LOCATION

The 5th conference on Analysis of Images, Social Networks, and Texts was held at the Palladium business centre, Yekaterinburg, Russia from Thursday, 7th through Saturday, 9th of April 2016.

IMPORTANT DATES

  • Submission of abstracts: January 10th January 17th 2016
  • Deadline for papers: January 17th January 31th 2016
  • Paper Notification: March 1st March 10th 2016
  • The second round of SNA Hackathon: April 6th - 8th, 2016
  • Scientific sections of the Conference: April 7th - 8th, 2016
  • Business sections of the Conference: April 9th, 2016

PROCEEDINGS

The conference proceedings will be published in the Springer’s Communications in Computer and Information Science series (under negotiation).

Previous proceedings can be found at Springer CCIS series as Vol. 436 and CEUR-WS Vol. 1197 (2014), CCIS Vol. 542 and CEUR-WS Vol. 1452 (2015).

PROGRAM COMMITTEE BOARD

Track 1. General topics of data analysis
Mikhail Khachay, co-chair (IMM UB RAS & Ural Federal University)
Konstantin Vorontsov, co-chair (Dorodnicyn Computing Centre RAS, Moscow)

Track 2. Natural language processing
Natalia Loukachevitch, co-chair (Moscow State Lomonosov University)
Alexander Panchenko, co-chair (Universite catholique de Louvain)

Track 3. Graphs and complex data structures
Dmitry Ignatov, co-chair (Higher School of Economics, Moscow)
Sergey Nikolenko, co-chair (Academic University, St. Petersburg)

Track 4. Analysis of images and video
Valery Labunets, co-chair (Ural Federal University)
Andrey Savchenko, co-chair (National Research University Higher School of Economics, Nizhny Novgorod)

STEERING COMMITTEE

Dmitry Ignatov, co-chair (Higher School of Economics, Moscow)
Mikhail Khachay, co-chair (IMM UB RAS & Ural Federal University)
Alexander Panchenko, co-chair (Universite catholique de Louvain)
Rostislav Yavorskiy, co-chair (Higher School of Economics, Moscow)

HACKATHON

The second round of SNA Hackathon 2016 took place on April 6-8th.
Follow latest news in SNA Hackathon groups in social networks: http://ok.ru/sna.hackathon, http://vk.com/snahackathon and twitter account http://twitter.com/SNAHackathon.

The SNA Hackathon 2016 poster can be downloaded here.

ORGANIZERS

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HACKATHON ORGANIZERS

Mail.ru Group Odnoklassniki

GOLDEN SPONSORS

Exactpro Odnoklassniki

BRONZE SPONSORS

ИТ Центр

INFORMATION PARTNERS

IMM UB RAS
GOTO HSE Big data business sammit BLASTIM
AINL
NLPUB HSE nlp seminar Математическая лингвистика
Ingria Apptractor Айти-событие DataAnalytics360 Apps4all
ModelOverfit Big Data Language GeneHack

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