Discovering more precise process models from event logs by filtering out chaotic activities

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-7675

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Discovering more precise process models from event logs by filtering out chaotic activities ; day:2 ; month:5 ; year:2018 ; pages:1-33
Journal of intelligent information systems ; (2.5.2018), 1-33

Creator: Tax, Niek

Contributor: Sidorova, Natalia
Aalst, Wil van der
SpringerLink (Online service)

DOI: 10.1007/s10844-018-0507-6

URN: urn:nbn:de:101:1-2018070423504101685249

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 AM CEST

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Tax, Niek
Sidorova, Natalia
Aalst, Wil van der
SpringerLink (Online service)

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Discovering System Dynamics Simulation Models Using Process Mining

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour

Clustering Object-Centric Event Logs

Repairing event logs using stochastic process models

The impact of biased sampling of event logs on the performance of process discovery

Enhancing Data-Awareness of Object-Centric Event Logs

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Discovering more precise process models from event logs by filtering out chaotic activities

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Other Objects (12)

Discovering more precise process models from event logs by filtering out chaotic activities

Creating Translucent Event Logs to Improve Process Discovery

Leveraging Desirable and Undesirable Event Logs in Process Mining Tasks

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OC-PM: analyzing object-centric event logs and process models

Discovering System Dynamics Simulation Models Using Process Mining

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour

Clustering Object-Centric Event Logs

Clustering Object-Centric Event Logs

Repairing event logs using stochastic process models

The impact of biased sampling of event logs on the performance of process discovery

Enhancing Data-Awareness of Object-Centric Event Logs

Discovering more precise process models from event logs by filtering out chaotic activities

Creating Translucent Event Logs to Improve Process Discovery

Leveraging Desirable and Undesirable Event Logs in Process Mining Tasks

OC-PM: analyzing object-centric event logs and process models

OC-PM: analyzing object-centric event logs and process models

Discovering System Dynamics Simulation Models Using Process Mining

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour

Clustering Object-Centric Event Logs

Clustering Object-Centric Event Logs

Repairing event logs using stochastic process models

The impact of biased sampling of event logs on the performance of process discovery

Enhancing Data-Awareness of Object-Centric Event Logs

Discovering more precise process models from event logs by filtering out chaotic activities

Creating Translucent Event Logs to Improve Process Discovery

Leveraging Desirable and Undesirable Event Logs in Process Mining Tasks

OC-PM: analyzing object-centric event logs and process models

OC-PM: analyzing object-centric event logs and process models

Discovering System Dynamics Simulation Models Using Process Mining

Repairing Outlier Behaviour in Event Logs using Contextual Behaviour

Clustering Object-Centric Event Logs

Clustering Object-Centric Event Logs

Repairing event logs using stochastic process models

The impact of biased sampling of event logs on the performance of process discovery

Enhancing Data-Awareness of Object-Centric Event Logs

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