Inductive Process Mining
Inductive Process Mining is a process discovery method that constructs a process model by recursively partitioning event log data into decomposable substructures, thereby guaranteeing soundness and scalability through a divide-and-conquer approach.
21
Publications
1.1K
Citations
69
Authors
33
Institutions
Publications per year
2017–2026
13
Parents
21
Auditing 2.0: Using Process Mining to Support Tomorrow's Auditor
Wil M. P. van der Aalst, K.M. van Hee, Jan Martijn E. M. van der Werf et al. · Computer · 2010 · 164 citations
Business, Accountancy, Accounting +16
1–5 of 21
69
Eindhoven University of Technology, Netherlands
3 publications · 279 citations
3
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1
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1
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1
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1
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1–5 of 69
33
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
8 publications
943 citations
Pontificia Universidad Católica de Chile
Santiago, Chile
1 h-index
7 publications
602 citations
Vienna University of Economics and Business
Vienna, Austria
1 h-index
4 publications
216 citations

Monash University
Melbourne, Australia
1 h-index
2 publications
88 citations
Politecnico di Milano
Milan, Italy
1 h-index
4 publications
44 citations

University of Calabria
Rende, Italy
1 h-index
2 publications
32 citations

Instituto Federal do Paraná
Curitiba, Brazil
1 h-index
1 publications
336 citations
National Research Council
Rome, Italy
1 h-index
2 publications
32 citations
1–8 of 33
1 publications · 55 citations
1
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EES · Conference · 1 publications · 23 citations
1
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1 publications · 14 citations
1
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1 publications · 36 citations
1
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1 publications · 11 citations
1
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1–5