Formation of Attributes of Processes Mining in Heterogeneous Systems

Abstract

Process mining is a promising method for investigating the various sequences of events that can be considered a process. When monitoring a large number of parameters, it becomes difficult to select parameters to assign them to the attributes of the event log format. The accuracy and information content of the resulting model and, as a consequence, the quality of the process analysis and detection of anomalies depend on the correctness of the comparison of attributes. The article discusses the features of the formation of event logs when processing data from heterogeneous sources.