Inter-Sequence Mining is a sequence mining task that discovers patterns, associations, or relationships across multiple distinct sequences, as opposed to within individual sequences, by analyzing the co-occurrence or temporal dependencies of itemsets between sequences.
15
Publications
817
Citations
47
Authors
33
Institutions
Publications per year
2017–2026
6
Parents
Publications
15
Simple and Effective Text Matching with Richer Alignment Features
Runqi Yang, Jianhai Zhang, Xing Gao et al. · 2019 · 173 citations · Full text
Finding Similar Regions in Many Sequences
Ming Li, Bin Ma, Lusheng Wang · Journal of Computer and System Sciences · 2002 · 139 citations
1–5 of 15
Authors
47
- FJ
2
h-index
- HC
2
h-index
- JZ
2
h-index
- XG
2
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- RY
2
h-index
1–5 of 47
Institutions
33
Ton Duc Thang University
Ho Chi Minh City, Vietnam
2 h-index
3 publications
62 citations
McGill University
Montreal, Canada
1 h-index
2 publications
20 citations
Salesforce (United States)
San Francisco, United States
1 h-index
1 publications
11 citations
University of Illinois Chicago
Chicago, United States
1 h-index
3 publications
33 citations
Alibaba Group (China)
Hangzhou, China
1 h-index
4 publications
692 citations
University of Essex
Colchester, United Kingdom
1 h-index
1 publications
172 citations
Max Planck Institute for Human Development
Berlin, Germany
1 h-index
1 publications
172 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
1 h-index
1 publications
21 citations
1–8 of 33
Venues
- Applied Intelligence
2 publications · 41 citations
2
h-index
- Proceedings of the 31st ACM International Conference on Information & Knowledge Management
Conference · 1 publications · 99 citations
1
h-index
- Geotechnical and Geological Engineering
1 publications · 10 citations
1
h-index
- Information Sciences
1 publications · 27 citations
1
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- arXiv (Cornell University)
Repository · 1 publications · 14 citations
1
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1–5