With the advent of digital transformation, organizations increasingly rely on various
information systems to support their business processes (BPs). Recorded data, including …

Purpose This study aims to draw the attention of business process management (BPM)
research and practice to the textual data generated in the processes and the potential of …

Abstract Business Process Management (BPM) is confronted with rapidly growing data flows
of various types. One established way to address the complexity caused by structured log …

Process mining provides a range of methods and techniques to analyse business processes
through information stored in so-called event logs. The richer these event logs and the …

Through the application of process mining, business processes can be improved on the
basis of process execution data captured in event logs. Naturally, the quality of this data …

Software developers often use logs to, eg, investigate bugs, familiarize themselves with the
underlying system, or improve performance. To do so, they commonly rely on text editors or …

Process mining is situated between process science and data science, with the objective of
discovering, monitoring, and improving processes. As a technique in business process …

Process complexity as a result of new technologies and continuously generated data flows
of various types and volumes. These are likely to result in the organizational performance …

U okviru doktorske disertacije istražuje se povezanost ključnih faktora automatskog
otkrivanja poslovnih procesa i njihov uticaj na tok izvršavanja projekata analize poslovnih …

U okviru doktorske disertacije istražuje se povezanost ključnih faktora automatskog
otkrivanja poslovnih procesa i njihov uticaj na tok izvršavanja projekata analize poslovnih …