An overview of semantic-based process mining techniques: trends and future directions-Reference-Cited by-同舟云学术

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An overview of semantic-based process mining techniques: trends and future directions

Published:2024-06-26 Issue: Volume: Page:
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Issahaku Fadilul-lah Yassaanah,Lu Ke,Xianwen Fang,Danwana Sumaiya Bashiru,Bandago Husein Mohammed

Funder

Leading Backbone Talent Project in Anhui Province

National Natural Science Foundation of China

Key Technologies Research and Development Program of Anhui Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10115-024-02147-x.pdf

Reference83 articles.

1. Van Der Aalst W (2012) Process mining: overview and opportunities. ACM Trans Manag Inf Syst (TMIS) 3(2):1–17

2. Aalst WM (2022) Process mining: a 360 degree overview. In: Process mining handbook. Springer, New York, pp 3–34

3. Leemans SJ, Fahland D, Van Der Aalst WM (2013) Discovering block-structured process models from event logs-a constructive approach. In: Application and theory of petri nets and concurrency: 34th international conference, PETRI NETS 2013, Milan, Italy, June 24–28, 2013. Proceedings 34. Springer, pp 311–329

4. Buijs J (2015) 3TU. Receipt phase of an environmental permit applicationprocess (WABO), DC Dataset

5. Rojas E, Munoz-Gama J, Sepúlveda M, Capurro D (2016) Process mining in healthcare: a literature review. J Biomed Inform 61:224–236

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