Data Analytics and Management in Data Intensive Domains 2021

Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2021)

Moscow, Russia, October 26-29, 2021.

Edited by

Alexei Pozanenko *
Sergey Stupnikov **
Bernhard Thalheim ***
Eva Mendez ****
Nadezhda Kiselyova *****

* Space Research Institute of the Russian Academy of Sciences and National Research University Higher School of Economics, Moscow, Russia
** Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia
*** University of Kiel, Germany
**** Universidad Carlos III de Madrid, Spane
***** A. A. Baikov Institute of Metallurgy and Materials Science of RAS (IMET RAS), Moscow, Russia

Table of Contents


Conceptual modeling, Data Integration, Ontologies and Applications

Problem Solving Architectures and Infrastructures, Experiment Organization

Machine Learning Applications

Advanced Data Analysis Methods

Data Analysis in Astronomy

Ontologies, Databases and Data Analysis in Materials Science

Information Extraction from Texts

Scientific, Educational, and Literary Texts Analysis

2021-12-11: submitted by Sergey Stupnikov, metadata incl. bibliographic data published under Creative Commons CC0
2021-12-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|