24-29 ноября - школа конференция "Интеллектуальный анализ данных в сетях, графы и аппроксимации", Санкт Петербург, в смешанном формате

Organizers:

1.    Probability Techniques in Analysis Laboratory, St. Petersburg State University

2.    Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA)

3.    Keldysh Institute of Applied Mathematics of Russian Academy of Science  (IPM)  

4.    Moscow Center for Fundamental and Applied Mathematics

Dates:  November 24-29, 2025

Place:  St. Petersburg State University

School-Conference “Data mining on networks, graphs, and approximation” is a part of the conference “Probability Techniques in Analysis and Algorithms on Networks” organized by the laboratory of Probability Techniques in Analysis of the St. Petersburg State University

Target Groups:

The target groups of the school are students and young researchers interested in modern trends in data analytics and in approximation, including big data processing, new machine learning, data mining techniques and rational approximation with orthogonal polynomials. The workshop is devoted to the development of mathematical aspects of data mining methods related with approximation and network (graph based) models. Graph and network models are our days ubiquitous in different fields of science and became more and more popular in approximations, data mining and machine learning. However, it is recognized that there is a lack of mathematical   foundations for many approaches and methods of data analytics.  Different aspects of network models in data mining and machine learning will be discussed. The topics of the workshop are optimization and data mining on networks, graphs, and rational approximations defined by multi-indices on an integer lattice, multi-level interpolations, reproducing kernels and operator theory on graphs. In addition, it is planned to discuss robustness of network models algorithms in machine learning and data mining, network models under uncertainty, multi-level network models and others.

The school-conference is a continuation of the successful Winter Schools and Conferences on Data Analytics and Approximation

DA 2016,  DA 2017,  DA 2018,  ADA 2019  School-conference “Approximation and data analysis”, DA 2020, DA 2021, CAOPA 2021, DA 2022, CAOPA 2022 , DAA 2023, DANA 2024 

Participation:   Participation at the school-conference is organized by invitations from organizers.

Program

here

Presentations

School-conference co-chairs
Alexander Aptekarev, Keldysh Institute of Applied Mathematics
Panos Pardalos, University of Florida and Higher School of Economics, Nizhny Novgorod

Organizing Committee:

Alexander V. Dyachenko, Keldysh Institute of Applied Mathematics
Valery Kalyagin, Higher School of Economics, Nizhny Novgorod
Nikita Kuzmin, Higher School of Economics, Nizhny Novgorod
Vladimir Lysov, Keldysh Institute of Applied Mathematics
Timur Medvedev, Higher School of Economics, Nizhny Novgorod
Khaidar Abdullin, Higher School of Economics, Nizhny Novgorod

 
Contact: vkalyagin@hse.ru