The journal Machine Learning and Data Analysis publishes original research papers and reviews of the developments in the field of artificial intelligence, theoretical computer science and its applications. The journal aims to promote the theory of machine learning and data mining and methods of conducting computational experiments. Papers are accepted in English and Russian.

The Editor-in-Chief of the journal is D.Sc. Vadim Strijov, Principal Investigator at the Computing Center of the Russian Academy of Sciences, Associate Professor at the Chair of Intelligent Systems of the Moscow Institute of Physics and Technology.

The journal has been publishing quarterly since 2011.

Papers submission and publication in the journal is free of charge.

The journal is included in the Russian science citation index RSCI. Information about citation to articles can be found at the Russian science citation index website.
The Crossref journal doi is 10.21469/22233792. ISSN 2223-3792.

The scope of the journal

  • classification, clustering, regression analysis,
  • multidimensional statistical analysis,
  • Bayesian methods for regression and classification,
  • model selection and complexity,
  • deep learning,
  • Statistical Learning Theory,
  • time series forecasting techniques,
  • methods of signal processing and speech recognition,
  • optimization methods for solving machine learning and data mining problems,
  • methods of big data analysis,
  • data visualization techniques,
  • methods of image processing and recognition,
  • text analysis, text mining and information retrieval,
  • applied data analysis problems.


Journal archive

Copyright and Access

The journal applies the Creative Commons Attribution (CC BY) license to the published papers. Under this license authors agree to make papers legally available for reuse, without permission or fees, for virtually any purpose. Anyone may copy, distribute, or reuse these papers, as long as the author and original source are properly cited.

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