Process Mining
Process Mining is a computational discipline within Business Process Management that analyzes event log data to automatically discover, monitor, and enhance operational processes by reconstructing actual execution behaviors.
1.3K
Publications
58.6K
Citations
2.6K
Authors
888
Institutions
Publications per year
2017–2026
672
1.3K
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Zhiqiang Ge, Zhihuan Song, Steven X. Ding et al. · IEEE Access · 2017 · 895 citations · Full text
Replaying history on process models for conformance checking and performance analysis
Wil M. P. van der Aalst, Arya Adriansyah, Boudewijn F. van Dongen · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2012 · 726 citations
Business, Information Systems, Business Process Management +14
1–5 of 1.3K
2.6K
Eindhoven University of Technology, Netherlands
175 publications · 14.9K citations
62
h-index
19
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18
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17
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17
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1–5 of 2.6K
888
Eindhoven University of Technology
Eindhoven, The Netherlands
65 h-index
354 publications
37.4K citations

Queensland University of Technology
Brisbane, Australia
30 h-index
134 publications
8.6K citations
RWTH Aachen University
Aachen, Germany
29 h-index
108 publications
4.4K citations
University of Tartu
Tartu, Estonia
25 h-index
66 publications
3.5K citations
KU Leuven
Leuven, Belgium
20 h-index
78 publications
5.4K citations

The University of Melbourne
Melbourne, Australia
19 h-index
54 publications
3.2K citations
Pontificia Universidad Católica de Chile
Santiago, Chile
18 h-index
106 publications
11.6K citations
Universitat Politècnica de València
Valencia, Spain
18 h-index
90 publications
10.6K citations
1–8 of 888
41 publications · 3.8K citations
24
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Repository · 34 publications · 2.2K citations
24
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29 publications · 1.9K citations
19
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23 publications · 1.4K citations
19
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27 publications · 1.6K citations
18
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1–5