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A Skip-list Approach for Efficiently Processing Forecasting Queries

Summary: Proposes IO-aware skip-list sampling for forecasting large time series, selecting history length and data-point counts via tests. PMF-driven randomized model selector picks compact built models under maint-cost constraints, enabling point, range, and join queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9730
Venue
VLDB
Year
2008
Pagerank
4.3218691e-05
Overall Rank
9,586 | 33.32%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,532 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011472681
2,084 The Case for Predictive Database Systems: Opportunities and Challenges 2011 CIDR 9.5820534e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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