Heuristic Mining
Heuristic Mining is a process discovery method that constructs process models from event logs by leveraging frequency-based heuristics to identify causal dependencies between activities, distinguishing itself from other process mining techniques through its robustness to noise and incompleteness in the data.
34
Publications
1.7K
Citations
93
Authors
38
Institutions
Publications per year
2017–2026
17
Parents
34
1–5 of 34
93
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h-index
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h-index
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Eindhoven University of Technology, Netherlands
3 publications · 154 citations
3
h-index
2
h-index
1–5 of 93
38
Sepuluh Nopember Institute of Technology
Surabaya, Indonesia
5 h-index
14 publications
508 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
4 publications
1.1K citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
4 publications
46 citations

Siam University
Bangkok, Thailand
2 h-index
6 publications
147 citations

Monash University
Melbourne, Australia
2 h-index
3 publications
102 citations

University of Padua
Padua, Italy
2 h-index
4 publications
150 citations
Politecnico di Milano
Milan, Italy
1 h-index
4 publications
44 citations
Huaqiao University
Xiamen, China
1 h-index
1 publications
16 citations
1–8 of 38
Repository · 2 publications · 455 citations
2
h-index
1 publications · 11 citations
1
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1 publications · 11 citations
1
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BPMJ · 1 publications · 17 citations
1
h-index
1 publications · 64 citations
1
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