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Pokrovsky boulevard, 11, room S938, Moscow, Russia, 109028
Phone: +7 (495) 772-95-90*27319
The School of Data Analysis and Artificial Intelligence was created in 2014 as part of the Department of Data Analysis and Artificial Intelligence. The school consists of world-renowned researchers who actively participate in international research projects.
Acquaye F. L., Kertesz-Farkas A., Stafford Noble W.
Journal of Proteome Research. 2023. Vol. 22. No. 2. P. 577-584.
Vasilii A. Gromov, Yury N. Beschastnov, Korney K. Tomashchuk.
PeerJ Computer Science. 2023. Vol. 9. No. .
Makhalova T., Kuznetsov S., Napoli A.
Data Mining and Knowledge Discovery. 2022. P. 108-145.
Dudyrev E., Semenkov Ilia, Kuznetsov S. et al.
Plos One. 2022. Vol. 17. No. 10.
Zhirayr Hayrapetyan, Nascimento S., Trevor F. et al.
In bk.: Information Systems and Technologies: WorldCIST 2022, Volume 2. Iss. 469. Springer, 2022. P. 141-147.
Dudyrev F., Neznanov A., Anisimova K.
In bk.: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II. Springer, 2022. P. 436-439.
Egurnov D., Точилкин Д. С., Ignatov D. I.
In bk.: Complex Data Analytics with Formal Concept Analysis. Springer, 2022. P. 239-258.
Egurnov D., Ignatov D. I.
Automation and Remote Control. 2022. Vol. 83. No. 6. P. 894-902.
Kudriavtseva P., Kashkinov M., Kertész-Farkas A.
Journal of Proteome Research. 2021. Vol. 20. No. 10. P. 4708-4717.
Kanovich M., Kuznetsov S., Scedrov A.
Information and Computation. 2022. Vol. 287.
Doctoral Student from School of Data Analysis and Artificial Intelligence Defends Dissertation in France
Buzmakov’s thesis is dedicated to the problems of data mining and formal concept analysis of data with complex structure. In particular, his study shows how it is possible to simplify the representation of data while maintaining the connection with the original submission. He suggests an effective algorithm for finding "interesting" concepts for a wide class of measures of "interestingness" (for example, stability and robustness). These theoretical results have been used in several applied projects: the analysis of patient trajectories, analysis of biological activity of chemical compounds, the analysis of text collections and various others.
The international committee included seven experts renowned for their work in the areas of data mining and formal concept analysis. Prof. Bruno Cremilleux (University of Caen, France) was the chair of the committee.
The committee included two reviewers, Prof. Jean-François Boulicaut (INSA Lyon, France) and Prof. Arno Siebes (University of Utrecht, the Netherlands); two Academic Supervisors, Prof. Sergei Kuznetsov (HSE Moscow) and Dr. Amedeo Napoli (LORIA, Nancy, France), and two prominent experts in data mining and formal concept analysis, Prof. Bernhard Ganter (TU-Dresden, Germany) and Dr. Henry Soldano (University Paris-13, France).
The committee recognized the significance of the findings, both theoretical and experimental, and Alexey Buzmakov was awarded the degree of Doctor of Informatics (PhD) at the University of Lorraine.