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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)

Paper ID
10638
Venue
VLDB
Year
2012
Pagerank
5.093636e-05
Overall Rank
12,341 | 15.33%
DOI
10.14778/2367502.2367551

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Authors

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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