Automated Decision-Making with DMN: from Decision Trees to Decision Tables (CROSBI ID 674775)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Etinger, Darko ; Simić, Srđan Daniel ; Buljubašić, Lea
engleski
Automated Decision-Making with DMN: from Decision Trees to Decision Tables
Recent advances in artificial intelligence, especially the subfield of machine learning, is commonly cited as one of the driving forces for digital transformation and innovative business models. Ongoing research is focusing on embedding solutions based on machine learning into business processes which are commonly modelled using the BPMN standard. The Object Management Group has recently adopted the Decision Model and Notation standard. By using the Decision Model and Notation (DMN) it is possible to replace multiple decision points embedded in business processes. The purpose of this research is to provide a method to derive DMN decision tables from the corresponding machine learning model generated by the decision tree classifier. The development is conducted using the Python machine learning library scikit-learn and Camunda Modeler. This approach facilitates and automates the process of converting machine learning models into DMN tables.
Business Process Management (BPM) ; Decision Model and Notation (DMN) ; decision trees
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Podaci o prilogu
1514-1518.
2019.
objavljeno
10.23919/MIPRO.2019.8756694
Podaci o matičnoj publikaciji
Proceedings of the 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics
Skala, Karolj
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
1847-3946
Podaci o skupu
MIPRO 2019
predavanje
20.05.2019-24.05.2019
Opatija, Hrvatska