Scalable alignment of process models and event logs: An approach based on automata and S-components-Reference-Cited by-同舟云学术

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Scalable alignment of process models and event logs: An approach based on automata and S-components

Published:2020-12 Issue: Volume:94 Page:101561
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Reißner Daniel,Armas-Cervantes Abel,Conforti Raffaele,Dumas Marlon,Fahland Dirk,La Rosa Marcello

Funder

Australian Research Council

Estonian Research Council

European Research Council

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference54 articles.

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

2. Conformance Checking - Relating Processes and Models;Carmona,2018

3. Conformance checking using cost-based fitness analysis;Adriansyah,2011

4. Efficiently computing alignments: using the extended marking equation;van Dongen,2018

5. Automated discovery of process models from event logs: Review and benchmark;Augusto;IEEE Trans. Knowl. Data Eng.,2019

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3. Learning business process simulation models: A Hybrid process mining and deep learning approach;Information Systems;2023-07

4. Context-Aware Trace Alignment with Automated Planning;2022 4th International Conference on Process Mining (ICPM);2022-10-23

5. Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning;Advanced Information Systems Engineering;2022

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