Mining Conditional Partial Order Graphs from Event Logs-Reference-Cited by-同舟云学术

Mining Conditional Partial Order Graphs from Event Logs

Published:2016 Issue: Volume: Page:114-136
ISSN:0302-9743
Container-title:Transactions on Petri Nets and Other Models of Concurrency XI
language:
Short-container-title:

Author:

Mokhov Andrey,Carmona Josep,Beaumont Jonathan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-53401-4_6

Reference42 articles.

1. van der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011)

2. The ProM framework homepage (2010). http://www.promtools.org/

3. Song, M., van der Aalst, W.M.P.: Supporting process mining by showing events at a glance. In: Proceedings of Annual Workshop on Information Technologies and Systems (WITS), pp. 139–145 (2007)

4. Mokhov, A.: Conditional partial order graphs. Ph.D. thesis, Newcastle University (2009)

5. Mokhov, A., Khomenko, V.: Algebra of parameterised graphs. ACM Trans. Embed. Comput. Syst. (TECS) 13(4s), 143 (2014)

Cited by 8 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. A Process Mining Method Aware of Waist Event in Power System;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

2. Discovering Stochastic Process Models by Reduction and Abstraction;Application and Theory of Petri Nets and Concurrency;2021

3. Efficient Time and Space Representation of Uncertain Event Data;Algorithms;2020-11-09

4. Automated Discovery of Process Models from Event Logs: Review and Benchmark;IEEE Transactions on Knowledge and Data Engineering;2019-04-01

5. Combining Refinement of Parametric Models with Goal-Oriented Reduction of Dynamics;Lecture Notes in Computer Science;2019