Model repair supported by frequent anomalous local instance graphs-Reference-Cited by-同舟云学术

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Model repair supported by frequent anomalous local instance graphs

Published:2024-05 Issue: Volume:122 Page:102349
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Genga Laura^ORCID,Rossi Fabio,Diamantini Claudia,Storti Emanuele,Potena Domenico

Publisher

Elsevier BV

Reference36 articles.

1. Process Mining - Data Science in Action;van der Aalst,2016

2. Interactive and incremental business process model repair;Cervantes,2017

3. Mining Process Performance from Event Logs: The BPI Challenge 2012;Adriansyah,2012

4. Discovering anomalous frequent patterns from partially ordered event logs;Genga;J. Intell. Inf. Syst.,2018

5. Model repair - aligning process models to reality;Fahland;Inf. Syst.,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns;Lecture Notes in Computer Science;2024

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