Predictive Business Process Monitoring with Tree-based Classification Algorithms

• Authors: Owczarek Tomasz , Janke Piotr
• Languages of publication: EN

Abstracts

EN

Predictive business process monitoring is a current research area which purpose is to predict the outcome of a whole process (or an element of a process i.e. a single event or task) based on available data. In the article we explore the possibility of use of the machine learning classification algorithms based on trees (CART, C5.0, random forest and extreme gradient boosting) in order to anticipate the result of a process. We test the application of these algorithms on real world event-log data and compare it with the known approaches. Our results show that.

Keywords

EN

business process; prediction; classification; random forest; gradient boosting

• Publisher: Międzynarodowa Wyższa Szkoła Logistyki i Transportu
• Journal: Logistics and Transport
• Year: 2018
• Volume: 40
• Pages: 73-82

Contributors

author

Owczarek Tomasz

• Politechnika Śląska

author

Janke Piotr

• Politechnika Śląska