Monthly Archives: May 2018

12th International Conference on Intelligent Data Processing: Theory and Applications

Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences and Moscow Institute of Physics and Technology are pleased to announce the 12th International Conference on Intelligent Data Processing: Theory and Applications (IDP-2018). The conference will be held from 8 to 12 October 2018 in Italy, Gaeta. Languages for the meeting are English and Russian.

IDP-2018 (Intelligent Data Processing: Theory and Applications) conference is a premier forum that brings together the data science researchers and professionals to discuss, distribute and advance the state of research and development of the data analysis field. The conference offers research and industry tracks in the areas of machine learning, data science, big data analysis, deep learning and computer vision. The IDP-2018 conference facilitates the exchange of insights and innovations between the industry and the academia, each represented by leaders in their respective fields. The event has its roots in the Russian school of mathematics and machine learning. It serves as an enriching interaction point between researchers and business from Russia and the world.

The conference is organized and supported by the Russian foundation for basic research, Moscow Institute of Physics and Technology, Forecsys, Center of Forecasting Systems and Recognition.

Key topics

  • Data Mining
  • Machine Learning
  • Big Data Analytics
  • Deep Learning
  • Computer Vision
  • Text Mining
  • Social Networks Analysis
  • Education And Data Science
  • Data Science Applications

The conference accepts papers representing the latest achievements in the theory and practice of data mining. It is expected that the papers demonstrate the theoretical achievements in addressing the fundamental problems of data mining 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 the innovative solutions of the 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 Communications in Computer and Information Science indexed by Scopus (to be confirmed). All submitted abstracts and papers are passed on to peer review.