Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/57510
Type of publication: Konferencijų tezės nerecenzuojamuose leidiniuose / Conference theses in non-peer-reviewed publications (T2)
Field of Science: Informatika / Informatics (N009)
Author(s): Užupytė, Rūta;Krilavičius, Tomas
Title: Analysis of public procurement data using social network techniques
Is part of: Data analysis methods for software systems – DAMSS: 9th International Workshop, Druskininkai, Lithuania, November 30-December 2, 2017 / editor Jolita Bernatavičienė. Vilnius : Vilnius University Institute of Data Science and Digital Technologies, 2017
Extent: p. 50-50
Date: 2017
Keywords: Data;Social network analysis;Open data analysis
ISBN: 9789986680642
Abstract: As more and more data become publicly available, the interest in extracting valuable information out of this data receives increasing attention. For each category of data, the advantages of open data analysis may be specific. In this research, we are interested in the open data of public procurement of Lithuania. Such kind of analysis may help reveal corruption and address the issues of transparency. However, the appropriate analysis technique should be carefully selected in order to obtain reliable and valuable results. In this part of the research, we focus on methods of knowledge discovery, such as social network analysis. This methodology was selected due to its ability to identify and visually represent relations among a large amount of data
Internet: https://hdl.handle.net/20.500.12259/57510
Affiliation(s): Baltijos pažangių technologijų institutas, Vilnius
Informatikos fakultetas
Taikomosios informatikos katedra
Vilniaus universitetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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