PL EN


2018 | 40 | 73-82
Article title

Predictive Business Process Monitoring with Tree-based Classification Algorithms

Content
Title variants
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.
Year
Volume
40
Pages
73-82
Physical description
Contributors
  • Politechnika Śląska
author
  • Politechnika Śląska
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.mhp-0a1cb6de-b971-4235-b4d9-06927b3881f1
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