This volume contains refereed proceedings of the Sixth International conference on Analysis of Images, Social Networks, and Texts (AIST 2017) 1 . The previous conferences during 2012-2016 attracted a significant number of students, researchers, academics, and engineers working on interdisciplinary data analysis of images, texts, and social networks.
The broad scope of AIST made it an event where researchers from different domains, such as image and text processing, exploiting various data analysis techniques, can meet and exchange ideas. We strongly believe that this may lead to cross fertilisation of ideas between researchers relying on modern data analysis machinery. Therefore, AIST brought together all kinds of applications of data mining and machine learning techniques. The conference allowed 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 was to stimulate scientists and people from industry to benefit from the knowledge exchange and identify possible grounds for fruitful collaboration.
The Program Committee and the reviewers of the conference included 167 well-known experts in data mining and machine learning, natural language processing, image processing, social network analysis, and related areas from leading institutions of 30 countries including Argentina, Australia, Austria, Belgium, Brazil, Canada, China, Croatia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Greece, Hungary, India, Ireland, Japan, Lithuania, Norway, Portugal, Qatar, Romania, Russia, Spain, Ukraine, The Netherlands, UK, and USA. This year we have received 127 submissions mostly from Russia but also from Algeria, Australia, Brazil, China, Finland, Germany, India, Iran, Kazakhstan, Latvia, Mexico, Netherlands, Norway, Turkey, USA, and Viet Nam.
Out of 127 submissions only 37 papers were accepted as regular oral papers. Thus, the acceptance rate of this volume was around 29%. In order to encourage young practitioners and researchers, we included 34 papers to the supplementary proceedings after their poster presentation at the conference. Each submission was reviewed by at least three reviewers, experts in their fields, in order to supply detailed and helpful comments.
The conference featured several invited talks and an industry session dedicated to current trends and challenges.
The keynote talk was presented by Andrzej Cichocki on "Bridge Between Tensor Networks and Deep Neural Networks: From Fundamentals to Real Applications".
The invited talks were:
-Stanley Wasserman (Indiana University), "Sensitivity analysis of p* and SAOM: The effects of missing data on parameter estimates". -Dirk Fahland (TU Eindhoven, Netherlands), "Process Mining: Past, Present, and Open Challenges".
Sergey Nikolenko from the St. Petersburg Department of the Steklov Mathematical Institute presented a tutorial on "Deep Learning for Natural Language Processing".
The business speakers also covered a wide variety of topics3 . We list those invited talks below:
-Iosif Itkin (Exactpro Systems), Industrial day opening. Keynote on "Exactpro and Data Analysis in London Stock Exchange: Capital Markets, Post Trade and Information Services". -Dmitry Bugaychenko (OK.ru), "Odnoklassniki Data Science Research Initiative". -Olga Megorskaya (Yandex), "Yandex Toloka: Crowdsource Your Data".
-Artur Kuzin (Avito), "AvitoNet: computer vision service in Avito".
-Alexander Zhebrak, Arthur Kadurin, Daniil Polykovskiy (Insilico Medicine), "Artificial Intelligence for Drug Discovery".
We would like to thank the authors for submitting their papers and the members of the Program Committee for their efforts in providing exhaustive reviews. We would also like to express special gratitude to all the invited speakers and industry representatives.
We deeply thank all the partners and sponsors. Our golden sponsors is Exactpro. Exactpro, a fully owned subsidiary of the London Stock Exchange Group, specialises in quality assurance for exchanges, investment banks, brokers, and other financial sector organisations. Our special thanks goes to Springer for their help, starting from the first conference call to the final version of the proceedings. Last but not least, we are grateful to all organisers, especially to Marina Danshina, and the volunteers, whose endless energy saved us at the most critical stages of the conference preparation.
Traditionally, we would like to mention the Russian word "aist" is more than just a simple abbreviation (in Cyrillic) -it means a "stork." Since it is a wonderful free bird, a symbol of happiness and peace, this stork brought us the inspiration to organise the AIST conference. So we believe that this young and rapidly growing conference will likewise be bringing inspiration to data scientists around the world!
Program Committee Mehwish Alam Université Paris 13, France Gabriela Arevalo Universidad Austral, Argentina Artem Babenko Yandex, Russia Jaume Baixeries Universitat Politècnica de Catalunya, Spain Artem Baklanov International Institute for Applied Systems Analysis, Austria Sergey Bartunov National Research University Higher School of Economics, Moscow, Russia & DeepMind, UK Timo Baumann Universität Hamburg, Germany Darina Benikova University of Duisburg-Essen, Germany Malay Bhattacharyya Indian Institute of Engineering Science and Technology, India Chris Biemann Technische Universität Darmstadt, Germany Elena Bolshakova Moscow State Lomonosov University, Russia & National Research University Higher School of Economics, Russia Anastasia Bonch-Osmolovskaya National Research University Higher School of Economics, Russia Aurélien Bossard Université Paris 8, France Jean-Leon Bouraoui CENTAL (Université Catholique de Louvain), Belgium Joos Buijs Eindhoven University of Technology, The Netherlands Andrea Burattin Technical University of Denmark, Denmark Evgeny Burnaev Institute for Information Transmission Problems of RAS, Russia Aleksey Buzmakov INRIA-LORIA(CNRS-Université de Lorraine), Nancy, France & National Research University Higher School of Economics, Perm, Russia Ignacio Cassol Universidad Austral, Argentina Artem Chernodub Institute of Mathematical Machines and Systems of NASU, Ukraine Vladimir Chernov Institute for Image Processing of RAS, Russia Ekaterina Chernyak National Research University Higher School of Economics, Moscow, Russia Marina Chicheva Samara State Aerospace University, Russia Bonaventura Coppola Technische Universität Darmstadt, Germany Hernani Costa University of Malaga, Spain Massimiliano de Leoni Eindhoven University of Technology, The Netherlands Boris Dobrov Lomonosov Moscow State University, Russia vii Sofia Dokuka National Research University Higher School of Economics, Moscow, Russia Florent Domenach
Analysis of dynamic behavior through event data Wil van der Aalst (Eind-
The conference was held during July 27-29, 2017. The conference was organised in Moscow, the capital of Russia, at the campus of Moscow Polytechnic University 2 . This year, the key topics of AIST were grouped into six tracks:
1. General topics of data analysis chaired by Sergei Kuznetsov (Higher School of Economics, Russia) and Amedeo Napoli (LORIA, France) 2. Natural language processing chaired by Natalia Loukachevitch (Lomonosov Moscow State University, Russia) and Alexander Panchenko (University of Hamburg, Germany) 3. Social network analysis chaired by Stanley Wasserman (Indiana University, USA) 4. Analysis of images and video chaired by Victor Lempitsky (Skolkovo In-