Temporal Join Processing
Temporal Join Processing is a computational method that enables the combination of temporally annotated relations by aligning their time-varying data according to specified time intervals or timestamps, distinguishing itself from conventional join operations through its explicit handling of temporal validity and time-based predicate evaluation.
29
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1.1K
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76
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35
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2017–2026
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Martin Kaufmann, Amin Amiri Manjili, Panagiotis Vagenas et al. · 2013 · 79 citations
Query processing algorithms for temporal intersection joins
Himawan Gunadhi, A. Segev · 2002 · 67 citations
Joining interval data in relational databases
Jost Enderle, Matthias Hampel, Thomas Seidl · 2004 · 61 citations
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Environmental Systems Research Institute (United States), United States
2 publications · 61 citations
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Free University of Bozen-Bolzano
Bolzano, Italy
3 h-index
7 publications
273 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
5 publications
176 citations
Systems, Applications & Products in Data Processing (Germany)
Walldorf, Germany
2 h-index
4 publications
188 citations
Environmental Systems Research Institute (United States)
Redlands, United States
2 h-index
8 publications
244 citations
Aalborg University
Aalborg, Denmark
2 h-index
4 publications
90 citations
ETH Zurich
Zurich, Switzerland
2 h-index
6 publications
346 citations
University of Zurich
Zurich, Switzerland
2 h-index
3 publications
116 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
74 citations
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PVLDB · 2 publications · 34 citations
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Conference · 2 publications · 187 citations
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TODS · 1 publications · 68 citations
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1 publications · 20 citations
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1 publications · 40 citations
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