An Approach to the Distributed Generation of Event Logs Based on Data from Heterogeneous Monitoring Devices

Modern monitoring systems are often consist of various heterogeneous devices generating data in different format with different attributes. To analyze such data using process mining techniques, it is necessary to define the most important features of events. One of the widely used data format for process mining is. xes format that allows usage of four attributes only. The paper presents an approach for dynamic determination of set of attributes and features of the events to be processed. The approach presented is tested on real world data set describing vehicle movement on the territory of the factory.