Time Series Database Models
Time Series Database Models is a specialized data modeling framework within temporal databases designed to systematically organize, store, and manage time-stamped data sequences by optimizing for temporal alignment, efficient time-based querying, and sequential data patterns.
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Publications
1.3K
Citations
134
Authors
49
Institutions
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2017–2026
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Mining Deviants in a Time Series Database
H. V. Jagadish, Nick Koudas, S. Muthukrishnan · Very Large Data Bases · 1999 · 97 citations
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Technische Universität Dresden
Dresden, Germany
2 h-index
6 publications
148 citations
Tsinghua University
Beijing, China
2 h-index
9 publications
402 citations
Aalborg University
Aalborg, Denmark
2 h-index
3 publications
58 citations

National Taiwan University
Taipei, Taiwan
2 h-index
5 publications
238 citations
Bangladesh Open University
Dhaka, Bangladesh
1 h-index
1 publications
35 citations
Indian Institute of Technology Dhanbad
Dhanbad, India
1 h-index
3 publications
66 citations
IBM Research (China)
Beijing, China
1 h-index
6 publications
132 citations
Wuhan University
Wuhan, China
1 h-index
4 publications
88 citations
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PVLDB · 2 publications · 37 citations
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2 publications · 34 citations
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Repository · 1 publications · 58 citations
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1 publications · 18 citations
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1 publications · 22 citations
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