Spatiotemporal Sequence Mining
Spatiotemporal Sequence Mining is a subfield of sequence mining that focuses on discovering temporal patterns and sequential relationships in data characterized by both spatial and temporal attributes, distinguishing it from conventional sequence mining by explicitly integrating location and time as integral dimensions of the sequential structure.
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Publications
2.1K
Citations
128
Authors
63
Institutions
Publications per year
2017–2026
11
Parents
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Mining Frequent Spatio-Temporal Sequential Patterns
Huiping Cao, Nikos Mamoulis, David W. Cheung · 2006 · 284 citations
Discriminative Subsequence Mining for Action Classification
Sebastian Nowozin, Koji Tsuda · 2007 · 176 citations
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data
Alina Bialkowski, Patrick Lucey, Peter Carr et al. · 2014 · 144 citations · Full text
Computing, Data Science, Data Mining +16
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Georgia State University
Atlanta, United States
5 h-index
11 publications
206 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
9 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
210 citations

Central South University
Changsha, China
2 h-index
3 publications
185 citations
National Institute of Technology Warangal
Warangal, India
2 h-index
2 publications
81 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
4 publications
48 citations
Vaagdevi College of Engineering
Bollikunta, India
2 h-index
2 publications
81 citations
Laboratoire d'Informatique en Images et Systèmes d'Information
Villeurbanne, France
1 h-index
1 publications
16 citations
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FGCS · 2 publications · 34 citations
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2 publications · 67 citations
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1 publications · 11 citations
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IDA · 1 publications · 11 citations
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Conference · 1 publications · 52 citations
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