Open AccessProcess Mining Tools Comparison
Author(s) -
Ufuk Çelik,
Eyüp Akçetin
Publication year - 2018
Publication title -
academic journal of information technology
Language(s) - English
Resource type - Journals
ISSN - 1309-1581
DOI - 10.5824/1309-1581.2018.4.007.x
Subject(s) - process mining , event (particle physics) , process (computing) , computer science , business process , data mining , business process discovery , data science , conformance checking , business process management , work in process , business process modeling , engineering , operations management , physics , quantum mechanics , operating system
Process mining is a new era in the science of data mining and is a subset of business intelligence. Process mining analysis provides an idea about a general process by comparing each process with others in the terms of time and responsible people who deal with the process. For this reason, event logs are checked. Event logs consist of large data. Because the event logs keep all the records that occur during short time intervals. Special programs are needed to examine such data. These programs generate a process map using information such as event ID, activity, time and responsible person. Through the analysis, processes are discovered, monitored and improved. In this study, the tools named ProM, Disco, Celonis and My-Invenio used in process mining were examined and their performance according to usage features compared. According to the obtained results, the usefulness, performance and reporting features of the software used in a process analysis are revealed.