Prediction methods for networked bibliographic data
Raporty Katedry Informatyki Stosowanej Politechniki Wrocławskiej. 2023, Ser. PRE; nr 9. VI, 245 s.
Profil
Absolwent studiów doktoranckich
Rajmund’s interest in data analysis was shaped during his Bachelor and Master’s studies in Automatic Control and Robotics. During that time, this interest was firmly focused on the use of data for management and automation purposes as evidenced by the theses he authored: “Development of software for advanced storage management” and “Analysis and comparison of the support tools of ERP systems”. The increased focus on Computer Science techniques and understanding large bodies of data lead him to enroll into a PhD programme in Computer Science. Here, his previous interests crystalised towards a larger problem: the analysis and understanding of the scientific process. His interests are shaped primarily by this goal and include areas such as Network Science and Representation Learning.
MsC in Control Engineering and Robotics
Wroclaw University of Science and Technology
PhD in information and communication technology
Wroclaw University of Science and Technology
Raporty Katedry Informatyki Stosowanej Politechniki Wrocławskiej. 2023, Ser. PRE; nr 9. VI, 245 s.
Rajmund Klemiński, Przemysław Kazienko, Tomasz Kajdanowicz
Journal of Informetrics 2021 vol. 15, nr 3, art. 101200, s. 1-20.
Rajmund Klemiński, Przemysław Kazienko
W: Network intelligence meets user centered social media networks / eds. Reda Alhajj [i in.]. Cham : Springer, 2018. s. 231-241. (Lecture Notes in Social Networks, ISSN 2191-5428)
Rajmund Klemiński, Tomasz Kajdanowicz, Roman D Bartusiak, Przemysław Kazienko
Lecture notes in computer science