Fuzzy Mining is a process discovery method that constructs a process model from an event log by incorporating fuzzy sets and tolerance for imprecision in activity sequences to better reflect real-world variability and noise.
355
Publications
14.9K
Citations
694
Authors
325
Institutions
Publications per year
2017–2026
63
Parents
Publications
355
Mining fuzzy association rules in databases
Chan Man Kuok, Ada W. C. Fu, Man Hon Wong · ACM SIGMOD Record · 1998 · 528 citations · Full text
1–5 of 355
Authors
694
- TH
25
h-index
- JCJerry Chun‐Wei Lin
Western Norway University of Applied Sciences, Norway
14 publications · 564 citations
13
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- CC
13
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- VS
10
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- SW
10
h-index
1–5 of 694
Institutions
325
National University of Kaohsiung
Kaohsiung City, Taiwan
24 h-index
54 publications
1.6K citations
National Sun Yat-sen University
Kaohsiung City, Taiwan
18 h-index
40 publications
980 citations
I-Shou University
Kaohsiung City, Taiwan
16 h-index
44 publications
2K citations
Universidad de Granada
Granada, Spain
14 h-index
47 publications
2.2K citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
12 h-index
29 publications
1.7K citations
National Cheng Kung University
Tainan City, Taiwan
11 h-index
29 publications
873 citations
Tamkang University
Taipei, Taiwan
10 h-index
22 publications
505 citations
Harbin Institute of Technology
Harbin, China
10 h-index
16 publications
824 citations
1–8 of 325
Venues
- IEEE Transactions on Fuzzy Systems
TFS · 12 publications · 1.1K citations
12
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- Expert Systems with Applications
12 publications · 719 citations
11
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- Soft Computing
10 publications · 276 citations
10
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- Fuzzy Sets and Systems
9 publications · 696 citations
9
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- International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
IJUFKS · 8 publications · 435 citations
8
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1–5