Process mining is concerned with the analysis of organizational processes based on event
data recorded during their execution. Foundational process mining techniques analyze such …

Process mining is a discipline that analyzes real event data extracted from information
systems that support a business process to construct as-is process models and detect …

Process mining, a specialised form of data-driven process analytics, is concerned with
evidence-based process improvement. Process mining relies on process data, which often …

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 …

This chapter introduces this thesis, and to do so is structured as follows: Firstly, Section 1.1
describes the context in which this thesis is framed and motivates why this work is …

Through constraints, declarative process models represent the permitted behaviour
associated with a business process, by limiting the potential correct traces. These models …

This chapter studies the programming languages and libraries suitable for presenting a
methodology for analyzing forums in the economics subject using natural language …

Process mining comprises methods to analyze organizational processes based on event
data recorded by information systems during process execution. These methods generate …

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