Temporal Data Types
Temporal Data Types is a schema-level construct in object-relational databases that extends conventional data types by incorporating time dimensions—such as valid time and transaction time—to model and manage data that changes over time.
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12.6K
Citations
377
Authors
186
Institutions
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2017–2026
27
Parents
155
Outlier Detection for Temporal Data: A Survey
Manish Gupta, Jing Gao, Charų C. Aggarwal et al. · IEEE Transactions on Knowledge and Data Engineering · 2014 · 983 citations
Conal Elliott, Paul Hudak · 1997 · 618 citations
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Aalborg University
Aalborg, Denmark
8 h-index
9 publications
725 citations
University of Arizona
Tucson, United States
8 h-index
12 publications
759 citations
University of Oxford
Oxford, United Kingdom
6 h-index
14 publications
693 citations
New York University
New York, United States
6 h-index
10 publications
782 citations
Iowa State University
Ames, United States
5 h-index
7 publications
386 citations

University of Milan
Milan, Italy
4 h-index
7 publications
202 citations

University of Alberta
Edmonton, Canada
4 h-index
11 publications
210 citations
University of California, Riverside
Riverside, United States
4 h-index
4 publications
308 citations
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9 publications · 622 citations
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TKDE · 8 publications · 1.4K citations
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Repository · 4 publications · 55 citations
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4 publications · 228 citations
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Repository · 4 publications · 149 citations
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