Event Sequence Mining
Event Sequence Mining is a temporal data mining task that identifies frequent and significant patterns of discrete events occurring in chronological order within an event sequence, distinguishing it from other temporal pattern discovery methods by focusing on the temporal ordering and co-occurrence of symbolic events rather than numerical time series or interval-based behaviors.
156
Publications
6.2K
Citations
444
Authors
193
Institutions
Publications per year
2017–2026
49
Parents
156
Discovering generalized episodes using minimal occurrences
Heikki Mannila, Hannu Toivonen · 1996 · 309 citations
Learning to predict rare events in event sequences
Gary M. Weiss, Haym Hirsh · 1998 · 213 citations
Predicting rare events in temporal domains
Ricardo Vilalta, Sheng Ma · 2003 · 157 citations
Computing, Data Science, Data Mining +16
Static specification mining using automata-based abstractions
Sharon Shoham, Eran Yahav, Stephen J. Fink et al. · 2007 · 134 citations
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193
IBM (United States)
Armonk, United States
6 h-index
15 publications
1K citations
Institute of Computing Technology
Beijing, China
6 h-index
28 publications
1.1K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
5 h-index
13 publications
914 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
18 publications
416 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
20 publications
666 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
18 publications
752 citations
Microsoft (United States)
Redmond, United States
4 h-index
8 publications
422 citations
National Cheng Kung University
Tainan City, Taiwan
4 h-index
11 publications
677 citations
1–8 of 193
Repository · 5 publications · 146 citations
5
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TVCG · 5 publications · 276 citations
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TKDE · 4 publications · 217 citations
4
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4 publications · 105 citations
4
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3 publications · 80 citations
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1–5