98 citations · 408 across the 10 of their papers we have counts for
6 papers · 1 filter
Discovering More Precise Process Models from Event Logs by Filtering Out Chaotic Activities
Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst
Process Discovery is concerned with the automatic generation of a process model that describes a business process from execution data of that business process. Real life event logs…
Guided Interaction Exploration in Artifact-centric Process Models
Maikel L. van Eck, Natalia Sidorova, Wil M. P. van der Aalst
Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such mod…
The Imprecisions of Precision Measures in Process Mining
Niek Tax, Xixi Lu, Natalia Sidorova +2
In process mining, precision measures are used to quantify how much a process model overapproximates the behavior seen in an event log. Although several measures have been proposed…
Interest-Driven Discovery of Local Process Models
Niek Tax, Benjamin Dalmas, Natalia Sidorova +2
Local Process Models (LPM) describe structured fragments of process behavior occurring in the context of less structured business processes. Traditional LPM discovery aims to gener…
Log-based Evaluation of Label Splits for Process Models
Niek Tax, Natalia Sidorova, Reinder Haakma +1
Process mining techniques aim to extract insights in processes from event logs. One of the challenges in process mining is identifying interesting and meaningful event labels that…
Mining Local Process Models
Niek Tax, Natalia Sidorova, Reinder Haakma +1
In this paper we describe a method to discover frequent behavioral patterns in event logs. We express these patterns as \emph{local process models}. Local process model mining can…