- Tytuł:
- Predictive Business Process Monitoring with Tree-based Classification Algorithms
- Autorzy:
-
Owczarek, Tomasz
Janke, Piotr - Powiązania:
- https://bibliotekanauki.pl/articles/503954.pdf
- Data publikacji:
- 2018
- Wydawca:
- Międzynarodowa Wyższa Szkoła Logistyki i Transportu
- Tematy:
-
business process
prediction
classification
random forest
gradient boosting - Opis:
- 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.
- Źródło:
-
Logistics and Transport; 2018, 40, 4; 73-82
1734-2015 - Pojawia się w:
- Logistics and Transport
- Dostawca treści:
- Biblioteka Nauki
Artykuł