INTELLIGENT DATA PROCESSING 2016
OCTOBER 10 ... 14, 2016
BARCELONA

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Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences, Moscow Institute of Physics and Technology and Harbour.Space University are proud to co-organize the 11th International Conference on Intelligent Data Processing: Theory and Applications (IDP 2016).

IDP 2016 is a premier forum for data science researchers and professionals to discuss, distribute and advance the state of research and development of the data analysis field. The conference facilitates the exchange of insights and innovations between the industry and academia, each represented by leaders in their respective fields. The conference offers research and industry tracks in the areas of machine learning, data science, big data analytics, deep learning and computer vision.

Join academics, experts and vendors from around the globe for four invaluable days of networking, educational sessions, breakout groups and, of course, fun. The 11th International conference on Intelligent Data Processing is one of a kind - the knowledge sharing and collaboration that takes place is unprecedented. The community has a unique opportunity to come together under one roof and share insights and best practices in big data.

ABOUT

WHAT TO EXPECT

Network with big data professionals and experts. Work with your peers to develop new ideas and applications for big data.

Data Science, Machine Learning, Big Data Analytics, Deep Learning, Computer Vision, Optimisation, Case Studies, Deep Learning School and more.

Learn what your peers are doing. Walk away with practical tips and tricks on how to enhance your big data strategy.

Pattern recognition, computational efficiency problems and optimisation, mathematical methods of analytical big data processing, signal processing and image recognition, applied data mining problems and more.

GET INSPIRED

LEARN

SHAPE THE FUTURE

DEEP DIVE

SPONSORS

Agencia EFE
Yandex
Rational Enterprise
ABBYY
mail.ru

SPONSORS

O'Reilly
Kaspersky Lab
Toptal
Hound
Pallantius
Your Logo Here
RFBR
Harbour.Space University
Moscow Institute of Physics and Technology
Eurecat
Ajuntament de Barcelona

FANTASTIC SPEAKERS

11TH
INTERNATIONAL
CONFERENCE

The conference accepts papers representing the latest achievements in the theory and practice of data science. It is expected that the papers demonstrate the theoretical achievements in addressing the fundamental problems of data science and also pay attention to the possible applications of these achievements. Papers demonstrating the solution of practical problems should use modern theoretical methods motivated by real needs of the modern world. Particular attention should be given to innovative solutions of industry and business problems.

Accepted abstracts will be included in the conference proceedings published prior to the conference. Full papers for the accepted abstracts will be published in the Machine Learning and Data Analysis journal and hence will be citable and searchable by the Russian Science Citation Index. The programming committee selects papers in English for publication in the Springer series Lecture Notes in Computer Sciences indexed by Scopus. All submitted abstracts and papers are passed on to peer review.

CALL FOR RESEARCH PAPERS

SUBMITREGISTER NOWREGISTER NOWREGISTER NOW
  • Data Mining
  • Machine Learning
  • Big Data Analytics
  • Deep Learning
  • Computer Vision

KEY THEMES

  • Text Mining
  • Social Networks Analysis
  • Education and Data Science
  • Knowledge Discovery
  • Data Science Applications
David Yang

DAVID YANG

Founder ABBYY and Findo

SPECIAL PRESENTATIONS

REGISTER NOW
ABBYY
IDP 2016 Logo

PAOLO ROSSO

Associate Professor at Universidad Politécnica de Valencia

John Henry Clippinger
Forecsys
Alessandra Stagliano

ALESSANDRA STAGLIANO

Senior Data Scientist at ASI Data Science

Amir Youssefi

AMIR YOUSSEFI

Chief Data Engineer for Risk at PayPal

Angie Ma

ANGIE MA

COO of ASI Data Science

IMPORTANT DATES

September 1, 2016 Abstracts and full papers submission deadline

September 10, 2016 Notification of abstracts acceptance

September 15, 2016 Conference attendance confirmation and last day to register before prices increase

September 20, 2016 Conference program publication

500 Startups
Berkley Haas BIT-AMENA

IDP has historically focused on cutting edge research. As we move into 2016 we are transforming the event to have equal emphasis on both theoretical advances and real-world impact that can benefit millions of people. We have separate but equally important research and industry tracks. IDP 2016 is now the leading conference focusing on how data, machine learning, deep learning, computer vision and analytics are changing not only business, but society itself.

We invite leaders from the industry to present at the conference and foster an exchange of ideas. As a result, the conference will generate not only cutting edge research but also new products, features and technologies for companies, and new research problems for our academic colleagues. IDP 2016 is committed to ensuring that our conference showcases only the most progressive case studies, talks and presentations.

Whether you already work with big data or are keen on expanding your knowledge, IDP 2016 covers it all and delivers an engaging experience that will inspire and empower you.

WHY ATTEND?

REGISTERSPONSOR

We invite you to share your best practices, implementation successes, tips and proven project solutions by presenting at this year’s conference and fostering an exchange of ideas.

The objective of the industry track presentations is to share best practices, implementation successes, solutions and to open a dialogue between practitioners and researchers looking for new challenges, findings, and lessons.

The industry track presentations should address big data implementation successes, case studies, failures or challenge that can take the form of new research problems for our academic colleagues.

We expect industry presentations to be of interest to both industry professionals and to our academic community.

CALL FOR PRESENTATIONS

PRESENT
Alexander Isakov

ALEXANDER ISAKOV

PhD, CEO, Pallantius

Konstantin Mertsalov

KONSTANTIN MERTSALOV

PhD, Director of Software Development Europe, Rationalenterprise.com

Michael Levin

MICHAEL LEVIN

Chief Data Scientist, Yandex Data Factory

Leonid  Zhukov

LEONID  ZHUKOV

Principal Data Scientist
The Boston Consulting Group

MEDIA PARTNERS

Agencia EFE
Barcinno
Datanami
ABBYY
Kamran Elahian

KAMRAN ELAHIAN

Founder of Venture Capital Firm Global Catalyst Partners, Partner at 500 Startups

Svetlana Velikanova

BORIS POLYAK

Dr.Sci, Professor at the Moscow Institute of Physics and Technology

Konstantin Vorontsov

KONSTANTIN VORONTSOV

Dr.Sci, PhD, Researcher in Yandex, Professor at the Moscow Institute of Physics and Technology

Victor Lempitsky

VICTOR LEMPITSKY

Associate Professor, Skolkovo Institute of Science and Technology

Jane Zavalishina

JANE ZAVALISHINA

CEO Yandex Data Factory

Sina Sohangir

SINA SOHANGIR

Ad Targeting, Snapchat

Jordi Puiggalí

JORDI PUIGGALI

CSO and SVP Research & Security at Scytl

THE VENUE

The conference will take place in the futuristic Media-TIC building un the heart of the 22@ district of Barcelona. The MediaTIC building is an emblematic building, with a pioneering architecture, and that has become one of the symbols of the ICT cluster in the innovation district of 22@ of Barcelona. The building seeks to be iconic in the digital world and a vehicle for the dissemination of new technologies, while being designed as a socially open civic space.

SCHEDULE

Monday October 10th
Cibernarium room
08:30-09:30   Registration
09:30-10:00   Opening Remarks
10:00-10:30
 
Practical machine learning for businesses Angie Ma (ASI Data Science)
10:30-11:00
 
Big Data Platform and Analytics at Snapchat, a next generation social network in the making / Sina Sohangir (Snapchat)
11:00-11:30
 
Citizen privacy and secrecy challenges in government Open Data / Jordi Puiggali (Scytl)
Coffee Break
12:00-12:30
 
Big Data: past experiences, current trends and future possibilities / Amir Youssefi (Pay Pal)
12:30-13:00
 
Image Synthesis with Deep Neural Network / Victor Lempitsky (Skolkovo Institute of Science and Technology)
13:00-13:30
 
Machine Intelligence in Industry 4.0 / Leonid Zhukov (Boston Consulting Group)
Lunch Break
15:00-15:30
 
€ 10 Millions of incremental incomes / Pier Paolo Rossi (Banc Sabadell)
15:30-16:00
 
Unlocking the Value of Machine Learning for Business / Michael Levin (Yandex Data Factory)
15:30-16:00
 
Latest advanced analytics trends across Europe / Davide Consiglio (Boston Consulting Group)
Coffee Break
17:00-18:00
 
Machine Learning for Banks / Jane Zavalishina (Yandex Data Factory ) / Davide Consiglio (BCG) / Andrey Kutovoy (VTB) / Marco Bressan (BBVA) / Pier Paolo Rossi (Banc Sabadell)
18:00-18:30
 
Algorithmic thinking vs Out of the box thinking / Kamran Elahian (500 Startups / Berkeley Haas BIT-Amena)
Tuesday October 11th
Cibernarium room
09:00-09:30   Open doors
09:30-10:00
 
Model selection for time series forecasting / Vadim Strijov (MIPT)
10:00-10:30
 
Mining Intelligent Information in Twitter: Detecting Irony and Sarcasm / Paolo Rosso (Universitat Politècnica de València)
10:30-11:00
 
Robust Principal Component Analysis / Boris Polyak (Institute for Control Science, Moscow)
11:00-11:30
 
Detecting Anomalies in the Real World / Alessandra Staglianò (ASI Data Science)
Coffee Break
12:00-12:30
 
Benefiting Local Talent Markets using Knowledge Networks & Cognitive Surplus / Sima Yazdani (Cisco)
12:30-13:00
 
Labelling images using transfer learning. An application to recommender system / Yannis Ghazouani (Dataiku)
13:00-13:30
 
Blockchain on intellectual property: Legal issues / Flavio Soares (Soares & Vacite)
Lunch Break
15:00-15:30
 
Data Compass: Finding Your Way with Analytics / Dr. Alexander Isakov (Pallantius)
15:30-16:00
 
ABBYY COMPRENO: Technologies of Semantic Analysis and Information Extraction / Yegor Budnikov (ABBYY)
15:30-16:00
 
Managing Unstructured Data in the Enterprise / Konstantin Mertsalov (Rational Enterprise)
Coffee Break
17:00-17:25
 
Hierarchical Finite State Controllers for Decision Making / Anders Jonsson (Universitat Pompeu Fabra)
18:00-18:30
 
Challenges and new opportunities that BIG DATA is giving to the industry of the job classifieds / Christian Palau (Red Arbor)
mStartup room
12:00-12:20
 
Mining demographic information in social media: age, gender, and personality / Paolo Rosso (Universitat Politècnica de València)
12:20-12:40
 
Pattern-based classification of demographic sequences / Ignatov Dmitry, Gizdatullin Danil, Mitrofanova Ekaterina, Muratova Anna, Baixeries Jaume
12:40-13:00
 
Feature Grouping Based on the Optimal Sequence of Correlation Matrix Minors / Dvoenko Sergey, Pshenichny Denis
13:00-13:20
 
Bagging of Neural Networks in Multitask Classification of Biological Acivity for Nuclear Receptors / Vladimirova Maria, Strijov Vadim
Lunch Break
15:00-15:20
 
Iris image segmentation by paired gradient method with pupil border refinement / Efimov Yuriy, Matveev Ivan
15:20-15:40
 
Eyelids and eyelash detection based on clusterization of vector of local features / Matveev Ivan, Talipov Kamil
15:40-16:00
 
Eyelid Position Detection Method for Mobile Iris Recognition / Odinokikh Gleb, Gnatyuk Vitaly, Korobkin Mikhail, Eremeev Vladimir
16:00-16:20
 
Detecting visible areas of iris by qualifier of textures with support set / Solomatin Ivan, Matveev Ivan, Novik Vladimir
16:20-16:40
 
Fast algorithm for determining pupil and iris boundaries / Chigrinskiy Viktor, Efimov Yuriy, Matveev Ivan
Coffee Break
17:00-17:20
 
Frequency-pattern data analysis to estimate the functional structure of the human body from external magnetic field / Ustinin Mikhail, Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav
17:20-17:40
 
A statistically significant decrease of the quantity of beta wave packets in de novo Parkinson's disease / Sushkova Olga, Morozov Alexei, Gabova Alexandra, Bugaev Alexandr
17:40-18:00
 
On the role of the Fejér summation in terrain modeling / Florinsky Igor, Pankratov Anton
18:00-18:20
 
Partial spectroscopy of the human brain spontaneous activity / Rykunov Stanislav, Boyko Anna, Sychev Vyacheslav, Ustinin Mikhail, Rykunova Elena
18:20-18:40
 
Warping path for continuous time series alignment / Goncharov Alexey, Strijov Vadim
19:00-20:30
 
Snapchat Workshop with Sina Sohangir
Thursday October 13th
Cibernarium room
09:30-09:50
 
A generalized linear approach to estimation of dependences from empirical data / Mottl Vadim, Seredin Oleg *
09:50-10:10
 
Methods of embedding real-world entities into a linear space for implementing the generalized linear approach to dependence estimation/ Seredin Oleg, Mottl Vadim*
10:10-10:30
 
Model volatility verification in problems of non-stationary dependence estimation / Krasotkina Olga, Vadim Mottl, Elena Chernousova*
10:30-10:50
 
Quick methods of online learning for generalized linear models of arbitrary dependences / Malenichev Anton, Krasotkina Olga, Mottl Vadim*
10:50-11:10
 
Estimation of arbitrary nonstationary dependences in a linear observation space / Turkov Pavel, Krasotkina Olga, Mottl Vadim*
Coffee Break
12:00-12:20
 
Investigation of effectiveness of several linear classifiers / Nedel'ko Victor *
12:20-12:40
 
Evidence evaluation for trainable models of arbitrary dependences: A generalized linear approach / Mottl Vadim, Levdik Pavel, Krasotkina Olga*
12:40-13:00
 
Numerical evidence evaluation for generalized linear dependence models / Levdik Pavel, Mottl Vadim, Krasotkina Olga, Tatarchuk Alexander*
Lunch Break
15:00-15:20
 
An exact pseudopolynomial-time algorithm for a problem of finding a family of disjoint subsets / Galashov Alexandr, Kel'manov Alexander*
15:20-15:40
 
Implementation of the asymptotically optimal approach to polynomial time solving some hard discrete optimization problems of rooting, assigning, covering, and clustering / Gimadi Edward*
15:40-16:00
 
On some clustering problems: Complexity and efficient algorithms with performance garantees / Kel'manov Alexander*
16:00-16:20
 
On searching for a vectors subset with the minimum normalized squared sum length / Pyatkin Artem, Eremeev Anton, Kel'manov Alexander*
16:20-16:40
 
An approximation algorithm for one NP-hard problem of partitioning a sequence into clusters with restrictions on their cardinalities / Khandeev Vladimir, Kel'manov Alexander, Mikhailova Ludmila, Khamidullin Sergey*
Coffee Break
17:00-17:20
 
Agent-based simulation modeling for regional ecological-economic systems. A case study of the Republic of Armenia / Beklaryan Levon, Akopov Andranik, Beklaryan Armen, Saghatelyan Armen*
17:20-17:40
 
Calculation of parameters of model hydraulic turbine by value of the specific speed / Volkov Yuriy, Bogdanov Vladimir, Miroshnichenko Valery, Salienko Alexander*
17:40-18:00
 
Particular usage characteristics of BIG DATA in medical diagnostics tasks / Ilyasova Nataly, Kupriyanov Alexandr, Paringer Rustam*
18:00-18:20
 
Applying data mining techniques when making medical diagnostic decisions / Marukhina Olga, Mokina Elena, Shagarova Maria, Dubinina Irina*
18:20-18:40
 
Analysis of the security of distributed information systems based on featureless pattern recognition / Sychugov Alexey, Rudnev Dmitry*
18:40-19:00
 
Incorporation of Distributed Multi-Agent Programming Means in a Strongly Typed Logic Language / Morozov Alexei, Sushkova Olga, Polupanov Alexander*
mStartup room
09:30-09:50
 
Additively Regularized Topic Model for Searching Ethnical Discourse in Social Media / Vorontsov Konstantin, Apishev Murat, Koltsov Sergei, Koltsova Olessia, Nikolenko Sergey*
09:50-10:10
 
Additive Regularization for Hierarchical Multimodal Topic Modeling / Chirkova Nadezhda, Vorontsov Konstantin
10:10-10:30
 
Multimodal topic model for texts and images utilizing their embeddings / Filchenkov Andrey, Smelik Nikolay
10:30-10:50
 
Multimodal topic modeling for exploratory search in collective blog / Ianina Anastasia, Vorontsov Konstantin*
10:50-11:10
 
Coupling strength of words and estimation of text relevance to unit of knowledge in open tests / Mikhaylov Dmitry, Kozlov Aleksandr, Emelyanov Gennady*
11:10-11:30
 
On a probabilistic model for smoothing discrete ranking quality metrics / Volkov Nikita, Zhukovskii Maksim*
Coffee Break
12:00-12:20
 
Candidate Document Retrieval for Cross-Lingual Plagiarism Detection / Romanov Alexey, Khritankov Anton*
12:20-12:40
 
Parametric approach to the construction of syntax trees for partially formalized text documents / Chuvilin Kirill*
12:40-13:00
 
The choice of decisions at recognition of emotions on the speech / Kalyan Viktor, Kalyan Anastasia*
13:00-13:20
 
Comparison and integration of approaches to deciphering of ancient Russian hymnals / Miroshnichenko Lubov, Bakhmutova Irina, Gusev Vladimir, Titkova Tatyana*
Lunch Break
15:00-15:20
 
Removing of combined noise in raster images / Dvoenko Sergey, Dang Thanh
15:20-15:40
 
Change detection in the sequences of images in complex scenes / Vishnyakov Boris, Sidyakin Sergey, Roslov Nikolay, Vizilter Yuri*
15:40-16:00
 
Real-Time Face Identification via CNN and Boosted Hashing Forest / Gorbatsevich Vladimir, Vizilter Yuri, Vorotnikov Andrew, Kostromov Nikita*
16:00-16:20
 
Application of information-theoretical performance criterion for image segmentation / Murashov Dmitry*
16:20-16:40
 
New method for three-dimensional images intelligent analysis and recognition: Description and examples / Fedotov Nikolay, Syemov Aleksey, Moiseev Alexandr*
Coffee Break
17:00-17:20
 
Analysis of brain structures hypersynchronization during the epileptic discharges on the basis of conical kernel representations of electroencephalogram signal / Antsiperov Viacheslav, Obukhov Yury *
17:20-17:40
 
Use of spectral analysis and Random Field Theory for MEG data analysis / Butorina Anna, Litvak Vladimir*
17:40-18:00
 
Detection algorithm of epileptic discharges and sleep spindles in rats in early posttraumatic period / Kershner Ivan, Obukhov Yury, Komoltsev Ilya*
18:00-18:20
 
The classification method of sleep spindels and epilepsy sezures in EEG after traumatic brain injury/ Maliuta Inna, Obukhov Konstantin, Obukhov Yury*
18:20-18:40
 
Multiple discriminant analysis for recognition of biosignals in frequency domain/ Manilo Ludmila, Nemirko Anatolii*
18:40-19:00
 
Classification of early stage Parkinson's disease based on electroencephalography feature set / Obukhov Konstantin, Maliuta Inna, Obukhov Yury*
Friday October 14th
mStartup room
09:30-09:50
 
Image quality evaluation for resampling methods based on spatial spectrum extrapolation / Ignatiev Vladimir, Matveev Ivan, Murynin Alexander, Trekin Alexey
09:50-10:10
 
Satellite imagery processing methods for the estimation of trace gas and aerosol emissions due to wildfires / Murynin Alexander, Bondur Valery, Gordo Kristina*
10:10-10:30
 
Object-oriented classification for recognition of earth surface in Arctic ecosystems / Ignatiev Vladimir, Murynin Alexander, Matveev Ivan, Trekin Alexey*
10:30-10:50
 
Parameters optimization in the problem of sea-wave spectra recovery by airspace images / Murynin Alexander, Bondur Valery, Ignatiev Vladimir*
Coffee Break
12:00-12:20
 
Statistical analysis of the internal distances of helical pairs in protein molecules / Kulikova Liudmila, Tikhonov Dmitrii, Efimov Aleksandr*
12:20-12:40
 
Automated technology for revealing latent periodicities in DNA sequences / Nazipova Nafisa, Chaley Mariya, Kutyrkin Vladimir, Tulbasheva Gayane, Teplukhina Elena*
12:40-13:00
 
Construction metrics for biomolecular sequences / Sulimova Valentina, Seredin Oleg, Mottl Vadim
Lunch Break
15:00-15:20
 
Multimodel forecasting multiscale time series in Internet of Things / Neychev Radoslav, Motrenko Anastasia, Isachenko Roman, Strijov Vadim
15:20-15:40
 
Aggregation of data from different sources in traffic flow tasks / Starozhilets Vsevolod, Chehovich Yuriy*
15:40-16:00
 
Presentation of software tool for embedding and extracting hidden messages in audio files / Zharkikh Aleksandr, Gorbunov Aleksei*
Cibernarium room
09:30-09:50
 
Information criterion for comparison of metric classifiers in ensemble of sources / Lange Mikhail*
09:50-10:10
 
Reduction of feature space dimension based on separability criterion / Manilo Ludmila, Nemirko Anatolii*
10:10-10:30
 
Sample size estimation in classification problems / Motrenko Anastasia
10:30-10:50
 
Interdependence of clusters measures and distance distribution in compact metric spaces / Pushnyakov Alexey*
10:50-11:10
 
Prediction of Students' Learning Results with Usage of Mixed Diagnostic Tests and 2-simplex Prism / Yankovskaya Anna, Dementyev Yury, Yamshanov Artem, Lyapunov Danil*
Coffee Break
12:00-12:20
 
Features space analysis for multimodel selection / Aduenko Aleksandr, Strijov Vadim
12:20-12:40
 
Approximation of combinatorial generalization bounds for threshold classifiers / Ishkina Shaura*
12:40-13:00
 
Decision rules for ensembled probabilistic classifier chain for multi-label classification / Ostapets Andrey*
13:00-13:20
 
Reinforcement-based Simultaneous Classification Model and its Hyperparameters Selection / Efimova Valeria, Filchenkov Andrey, Shalyto Anatoly
Lunch Break
15:00-15:20
 
Classification of two-dimensional figures using skeleton-geodesic histograms of thicknesses and distances / Lomov Nikita, Sidyakin Sergey, Vizilter Yury*
15:20-15:40
 
Recognition of digital fonts from images based on the disk cover / Mestetskiy Leonid, Lomov Nikita*
15:40-16:00
 
Background-Invariant Robust Hand Detection Using One Class Color Segmentation and Skeleton Description / Gracheva Inessa, Kopylov Andrey, Seredin Oleg, Kushnir Olesia, Larin Alexander
16:00-16:20
 
Morphological image matching using deep convolutional neural networks / Lebedev Maksim, Kostromov Nikita, Rubis Aleksey, Komarov Denis, Vygolov Oleg, Vizilter Yuri*
16:20-16:40
 
The Algorithms of Adjustment of Reflection Symmetry Axis Found by the Skeleton Primitive Sub-Chains Comparison Method / Fedotova Sofia, Seredin Oleg, Kushnir Olesia*
Coffee Break
17:00-17:30
 
Algorithms and computational technology for extremum search in optimal control problemst) / Gornov Alexander, Zarodnyuk Tatiana, Anikin Anton, Finkelstein Evgeniya
17:30-18:00
 
On metric spaces arising during formalization of problems of recognition and classification: Properties of compactness / Rudakov Konstantin, Torshin Ivan
18:00-19:00   Closing remarks

 

ORGANIZED BY

GOLD SPONSOR

PARTNERS

SCHEDULE
Yandex Data Factory (YDF) proudly offers high quality machine learning and predictive analytics solutions to help companies use their data to reach their business goals. Our SaaS or on premises services deliver proven, measurable results on a performance-based pricing model.
 
Yandex Data Factory’s key technologies include image and voice recognition, computer vision, deep neural networks, natural voice processing, geospatial technologies and above all, proprietary machine learning algorithms. Using these technologies, we offer a range of innovative solutions that are particularly applicable to retail, manufacturing, telecommunications, and finance. These solutions are highly adaptable to each business’ needs, and are quickly and easily implemented. Among other accomplishments, YDF has already:
 
● Reduced production costs for a metallurgy company, saving more than $4m a year 
● Delivered a promotion forecasting solution for a retail chain that is accurate within one wholesale package 87% of the time
● Improved churn prediction quality by 20% compared to the client’s existing in-house approach
● Optimised data storage by 40%, saving up to $4m
● Increased the NPV of one client’s marketing campaigns by over 13% through personalisation
 
Our parent company, Yandex, is Russia’s leading search engine and Europe’s largest internet business. Since its inception in 1997, Yandex has powered 70% of its own products and services with machine learning and cultivated the talents of some of the world’s leading data scientists. Many of those we trained at the Yandex School of Data Analysis, a competitive master’s-level program in computer science and data analysis.
 
For further information, please visit yandexdatafactory.com or contact us at ydf-customer@yandex-team.com
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