Temporal Data Warehousing
Temporal Data Warehousing is a data warehousing paradigm that integrates temporal database principles to systematically model, store, and manage historical and time-varying data for analytical processing, distinguishing itself by explicitly supporting time as a first-class dimension for query, analysis, and schema evolution.
34
Publications
1.3K
Citations
73
Authors
34
Institutions
Publications per year
2017–2026
3
34
Efficient computation of temporal aggregates with range predicates
Donhui Zhang, Alexander Markowetz, Vassilis J. Tsotras et al. · 2001 · 79 citations
A multidimensional and multiversion structure for OLAP applications
Mathurin Body, Maryvonne Miquel, Yvan Bédard et al. · 2002 · 73 citations
1–5 of 34
73
Institute for Interdisciplinary Studies of Austrian Universities, Austria
3 publications · 66 citations
3
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2
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2
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2
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2
h-index
1–5 of 73
34
Université Libre de Bruxelles
Brussels, Belgium
2 h-index
3 publications
114 citations

University of Bologna
Bologna, Italy
2 h-index
4 publications
244 citations
Institute for Interdisciplinary Studies of Austrian Universities
Vienna, Austria
2 h-index
3 publications
53 citations
Philipps University of Marburg
Marburg, Germany
2 h-index
3 publications
189 citations
University of California, Riverside
Riverside, United States
2 h-index
5 publications
299 citations

Universidad de Granada
Granada, Spain
2 h-index
4 publications
48 citations
Rostov State Transport University
Rostov-on-Don, Russia
1 h-index
1 publications
47 citations

Polytechnique Montréal
Montreal, Canada
1 h-index
4 publications
280 citations
1–8 of 34
DKE · 3 publications · 98 citations
3
h-index
IJDWM · 2 publications · 128 citations
2
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TODS · 1 publications · 31 citations
1
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IDEAS · 1 publications · 33 citations
1
h-index
1 publications · 12 citations
1
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1–5