Model-based Integration of Past & Future in TimeTravel

Summary: TimeTravel integrates past and forecasted future values into a single time series via incrementally updated seasonal models. A hierarchical seasonal model index enables fast approximate queries with error guarantees, while exact queries touch only relevant segments; PostgreSQL implementation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10451
Venue: VLDB
Year: 2012
Pagerank: 4.1905499e-05
Overall Rank: 12,153 | 15.54%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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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
468	MauveDB: Supporting Model-based User Views in Database Systems	2006	SIGMOD	0.00022407392
1,567	Querying Continuous Functions in a Database System	2008	SIGMOD	0.00011320794

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