Missing Data Problem in the Event Logs of Transport Processes

Abstract

Data and process mining techniques are very helpful in analyzing transport problems. The model of the process can be built using the available data. It leads to make possible the operational support which improves the process. Very important task is to record data in the proper way. Unfortunately some errors may occur. In this kind of situation some data lacks can be observed. On the other hand the data may be complete but having very high error coefficient. The model of the process should have as minimum error as possible and has to be reliable. Although some missing data can occur, there are some ways to do some data recovery. In this paper the problem of missing numerical data in the event log is described. Different solutions and conclusions are presented.