scholarly journals Data Analysis Methods for Software Systems

2021 ◽  
Vol 17 ◽  
pp. 1-82
Author(s):  
Jolita Bernatavičienė
2019 ◽  
Vol 8 ◽  
pp. 1-97
Author(s):  
Jolita Bernatavičienė

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.  


2017 ◽  
Vol 9 (33) ◽  
pp. 4783-4789 ◽  
Author(s):  
Samuel Mabbott ◽  
Yun Xu ◽  
Royston Goodacre

Reproducibility of SERS signal acquired from thin films developed in-house and commercially has been assessed using seven data analysis methods.


2010 ◽  
Vol 58 (2) ◽  
pp. e22-e23
Author(s):  
Karen A. Monsen ◽  
Karen S. Martin ◽  
Bonnie L Westra

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