Jun 28, 2016 · To find the dependencies between either control flow, or data decisions detected in the event log of a process model, we propose Algorithm 2.

7 days ago · This paper introduces a semi-automatic approach to (i) identify decision logic in process models, (ii) to derive a corresponding DMN model and ...

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Posted: May 10, 2023

In this paper, a discovery technique for process model with data by considering the overlapping rules from event logs is presented.

Our work proposes an approach of semi-automatic derivation of DMN decision models from process event logs with the help of decision tree classification. The ...

This article presents an accuracy-optimized method to discover business process simulation models from execution logs.

7 days ago · This 3rd edition contains a new chapter on business decision modelling, covering the Decision Model and Notation (DMN) standard; the chapter ...

Discovering Decision Models from Event Logs · List of references · Publications that cite this publication.

May 2, 2018 · We propose a novel technique to filter out chaotic activities from event logs. We evaluate this technique on a collection of seventeen real-life event logs.

This paper proposes the first object-centric decision-mining algorithm called Integrated Object-centric Decision Discovery Algorithm (IODDA).