ABOUT THE CONFERENCE
The conference is intended for computer scientists and practitioners
whose research interests are related to data science. The previous
conferences in 2012-2016 attracted a significant number of students,
researchers, academics and engineers working on analysis of images,
texts, and social networks. The broad scope of AIST makes it an event
where researchers from different domains, such as image and text
processing, exploiting various data analysis techniques, can meet and
exchange ideas. The conference allows specialists from different fields
to meet each other, present their work, and discuss both theoretical and
practical aspects of their data analysis problems. Another important
aim of the conference is to stimulate scientists and people from the
industry to benefit from the knowledge exchange and identify possible
grounds for fruitful collaboration.
TOPICS
The scope of the conference includes the following topics:
- Social Network Analysis
- Natural Language Processing
- Recommender systems and collaborative technologies
- Analytics for geoinformation systems
- Analysis of images and video
- Discovering and analyzing processes using event data
- Game analytics
- Core Data Mining and Machine Learning techniques
- Semantic Web and Ontologies
- Educational Data Mining
- ML & DM for Economics and Social Sciences
PROCEEDINGS
Similarly to the previous years, the conference proceedings will be
published in the Springer’s Communications in Computer and Information
Science (CCIS) or in Lecture Notes in Artificial Intelligence (LNAI)
series. Proceeding of the AIST 2015 conference can be found at
http://www.springer.com/us/book/9783319261225 and proceedings of the
AIST 2016 are available at
http://www.springer.com/us/book/9783319529196.
LOCATION
The 6th conference on Analysis of Images, Social Networks, and Texts
will take place in Moscow, Russia from Thursday, 27th through Saturday,
29th of July 2017.
IMPORTANT DATES
Submission of abstracts: April 30, 2017
Deadline for papers: May 7, 2017
Notification of Acceptance: June 7, 2017
The Conference: July 27 - 29, 2017
PROGRAM COMMITTEE BOARD
Track 1. General topics of data analysis
Sergey Kuznetsov (Higher School of Economics, Moscow)
Amedeo Napoli (LORIA, Nancy)
Track 2. Natural language processing
Natalia Loukachevitch (Moscow State Lomonosov University)
Alexander Panchenko (University of Hamburg, Hamburg)
Track 3. Social network analysis
Stanley Wasserman (Indiana University, Bloomington)
Track 4. Analysis of images and video
Victor Lempitsky (Skolkovo Institute of Science and Technology, Moscow)
Andrey Savchenko (Higher School of Economics, Nizhny Novgorod)
Track 5. Optimization problems on graphs and network structures
Panos M. Pardalos (University of Florida)
Mikhail Khachay (IMM UB RAS & Ural Federal University)
Track 6. Analysis of dynamic behavior through event data
Wil van der Aalst (Eindhoven University of Technology)
Irina Lomazova (Higher School of Economics, Moscow)
