Proceedings of the 11th International Workshop "Data analysis methods for software systems"
Jolita Bernatavičienė
Vilnius University, Lithuania
Published 2019-11-25


Artificial Intelligence
Big data
Blockchain technologies
Business Rules Software Engineering
Data Science
Deep Learning
Digital Technologies
High-Performance Computing
Visualization Methods for Multidimensional Data
Machine Learning
Medical Informatics
Modelling Educational Data
Ontological Engineering
Optimization in Data Science
Signal Processing

How to Cite

Bernatavičienė, J. (tran.) (2019) “Proceedings of the 11th International Workshop ‘Data analysis methods for software systems’”, Vilnius University Proceedings, 8, pp. 1–97. doi:10.15388/Proceedings.2019.8.


DAMSS-2019 is the 11th international workshop on data analysis methods for software systems, organized in Druskininkai, Lithuania, at the end of the year. The same place and the same time every year. History of the workshop starts from 2009 with 16 presentations. The idea of such workshop came up at the Institute of Mathematics and Informatics that now is the Institute of Data Science and Digital Technologies of Vilnius University. The Lithuanian Academy of Sciences and the Lithuanian Computer Society supported this idea. This idea got approval both in the Lithuanian research community and abroad. The number of this year presentations is 77. The number of registered participants is 127 from 9 countries. The main goal of the workshop is to introduce the research undertaken at Lithuanian and foreign universities in the fields of data science and software engineering. Annual organization of the workshop allows the fast interchanging of new ideas among the research community. Even 9 companies and institutions supported the workshop this year. This means that the topics of the workshop are actual for business, too. Topics of the workshop cover Artificial Intelligence, Big data, Bioinformatics, Blockchain technologies, Business Rules Software Engineering, Data Science, Deep Learning, Digital Technologies, High-Performance Computing, Machine Learning, Medical Informatics, Modelling Educational Data, Ontological Engineering, Optimization in Data Science, Signal Processing, Visualization Methods for Multidimensional Data. A special session and discussions are organized about topical business problems that may be solved together with the research community. This book gives an overview of all presentations of DAMSS-2019.