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.
LIST OF TOPICS
- Analysis of Images and Video
- Natural Language Processing
- Social Network Analysis
- Recommender systems and collaborative technologies
- Geoinformation systems
- Game analytics
- Core Data Mining and Machine Learning techniques
- Semantic Web and Ontologies
- Educational Data Mining
- ML&DM for Economics and Social Sciences
SLIDES
The slides can be found at our slideshare.com account.
ORGANIZERS, SPONSORS & PARTNERS
AIST conference in 2015 was organized by Ural Federal University, Krasovsky Institute of Mathematics and Mechanics UB RAS, and nonprofit organization Graphicon with support from Exactpro Systems LLC, IT centre, SKB Kontur, JetBrains and Yandex.
The complete list of our sponsors and partners is provided at the Sponsors & Partners page.
LOCATION
The fourth conference on Analysis of Images, Social Networks, and Texts was held at the Palladium business centre, Yekaterinburg, Russia from Thursday, 9th through Saturday, 11th of April 2015.
IMPORTANT DATES
Submission of abstracts: January 18th, 2015
Deadline for papers: January 25th February 1st, 2015
Paper Notification: February 15th March 11th, 2015
Paper Final Version: March 1st March 26th, 2015
Conference: April 9th - 11th, 2015
PLENARY SPEAKERS
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Иосиф Иткин, Exactpro Systems TBA. |
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Дмитрий Бугайченко, OK.ru Размер имеет значение? |
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Артём Кузнецов, СКБ Контур Дела семейные: извлечение отношений между компаниями по данным Википедии. |
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Никита Казеев, Yandex Data Factory О методах машинного обучения для решения задач большого адронного коллайдера |
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Константин Обухов, CleverData Технологии Customer Experience, задачи моделирования отклика и управления оттоком клиентов. |
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Александра Шилова, Центр ИТ Центр информационных технологий: анализ и обработка данных при построении масштабных информационных систем |
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Алексей Натекин, Data Mining Labs Оптимизация затрат на обслуживание банкоматов с помощью машинного обучения |
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Михаил Дубов, Факультет компьютерных наук, НИУ ВШЭ Text Analysis with Enhanced Annotated Suffix Trees: Algorithmical base and Industrial usage |
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Александр Семенов, International laboratory for Applied Network Research НИУ ВШЭ, http://jarens.ru/ Анализ профилей пользователей сообществ, посвящённых депрессии и суициду в VK.com |
PROCEEDINGS
The conference proceedings will be published in the Springer’s Communications in Computer and Information Science series: http://www.springer.com/series/7899.
Proceeding of the previous year can be found at Springer CCIS series as Vol. 436 and CEUR-WS.org proceedings as Vol-1197.
PROGRAM COMMITTEE BOARD
Mikhail Yu. Khachay, co-chair (IMM UB RAS and Ural Federal University, Russia)
Natalia Konstantinova, co-chair (University of Wolverhampton, UK)
Valeri G. Labunets, co-chair (Ural Federal University, Russia)
Alexander Panchenko, co-chair (Technische Universität Darmstadt, Germany)
Dmitry Ignatov, proceedings chair (Higher School of Economics, Russia)
INDUSTRY SECTION
- Alexander Semenov, co-chair (Higher School of Economics, Russia)
- Ekaterina Chernyak, co-chair (Higher School of Economics, Russia)
ORGANIZING COMMITTEE
- Evgeniya Vlasova, chair (Higher School of Economics, Moscow)
- Rostislav Yavorskiy (Higher School of Economics, Moscow)
- Dmitry Ustalov (IMM UB RAS and Ural Federal University, Yekaterinburg)
- Andrey Savchenko (HSE Branch in Nizhny Novgorod)
- Natalia Papulovskaya (Ural Federal University, Yekaterinburg)
- Yuri Pekov (Moscow State Lomonosov University, Moscow)
VOLUNTEER TEAM
- Alexandra Barysheva (Higher School of Economics, Moscow)
- Liliya Galimzyanova (Ural Federal University, Yekaterinburg)
- Anna Golubtsova (Higher School of Economics, Moscow)
- Vyacheslav Novikov (Higher School of Economics, Moscow)
- Evgeniy Tsymbalov (Higher School of Economics, Moscow)