Model-based Integration of Past & Future in TimeTravel
Summary: TimeTravel unifies historical and forecasted time-series values through model-based, seasonal hierarchical indexes. It supports error-bounded approximate queries and selective exact historical queries, achieving order-of-magnitude speedups over scanning raw data, transparently in PostgreSQL. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mohamed E. Khalefa (Aalborg University)
- 2. Ulrike Fischer (Technical University of Dresden)
- 3. Torben Bach Pedersen (Aalborg University)
- 4. Wolfgang Lehner (Technical University of Dresden)
BibTeX Citation
@article{khalefa_vldb12,
title = {{Model-based Integration of Past \& Future in TimeTravel}},
author = {Khalefa, Mohamed E. and Fischer, Ulrike and Pedersen, Torben Bach and Lehner, Wolfgang},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
pages = {1974},
doi = {10.14778/2367502.2367551},
url = {https://doi.org/10.14778/2367502.2367551},
year = {2012}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 408 | MauveDB: Supporting Model-based User Views in Database Systems | 2006 | SIGMOD | 0.00019008806 |
| 1,437 | Querying Continuous Functions in a Database System | 2008 | SIGMOD | 0.00010790718 |
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