Predictive Business Process Monitoring with Tree-based Classification Algorithms
Journal Title: Logistics and Transport - Year 2018, Vol 40, Issue 4
Abstract
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.
Authors and Affiliations
Tomasz Owczarek, Piotr Janke
Keywords
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- EP ID EP490038
- DOI 10.26411/83-1734-2015-4-40-10-18
- Views 63
- Downloads 0
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