Temporal Rule Mining
Temporal Rule Mining is a data mining technique that discovers temporal associations and recurring patterns in time-stamped data by identifying rules that characterize the sequential or timed relationships among events, thereby distinguishing itself from atemporal rule mining methods through its explicit incorporation of time constraints and temporal ordering.
69
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3.4K
Citations
224
Authors
110
Institutions
Publications per year
2017–2026
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69
Rule discovery from time series
Gautam Das, King-Ip Lin, Heikki Mannila et al. · 1998 · 628 citations
An approach to discovering temporal association rules
Juan M. Ale, Gustavo Rossi · 2000 · 225 citations · Full text
Discovering calendar-based temporal association rules
Yingjiu Li, Peng Ning, X. Sean Wang et al. · Data & Knowledge Engineering · 2002 · 189 citations · Full text
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University of Pavia
Pavia, Italy
4 h-index
7 publications
545 citations
National University of Singapore
Singapore, Singapore
3 h-index
5 publications
232 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
100 citations
Singapore Management University
Singapore, Singapore
3 h-index
3 publications
93 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
3 h-index
6 publications
162 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
4 publications
101 citations

Chungbuk National University
Cheongju-si, South Korea
2 h-index
7 publications
137 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
2 h-index
3 publications
67 citations
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2 publications · 85 citations
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Repository · 2 publications · 28 citations
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PVLDB · 2 publications · 70 citations
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2 publications · 56 citations
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DKE · 2 publications · 277 citations
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