Algorithm for Generating Event Logs Based on Data from Heterogeneous Sources

In recent years, process mining algorithms are widely used for process analysis. As input data for process mining algorithms, .xes files are used. This format has a limitation for a number of attributes; therefore, in case of registering a single event with several monitoring devices, there is problem of generating event logs based on heterogeneous data. In this paper, an algorithm for generating event logs based on data from heterogeneous monitoring devices is proposed. The most important parameters for the analysis of events are taken into account. Examples of the formation of event logs when choosing a different set of source data are given, the influence of the number and composition of the selected attributes on the result of building business process models is analyzed.