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Stochastic Data Acquisition for Answering Queries as Time Goes by

Summary: Sequential decision making: when to acquire data vs reuse stale results to answer time-evolving queries under costs. Proposes RL and tailored locality-sensitive hashing; experiments on two real datasets show effective cost–accuracy trade-offs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11527
Venue
VLDB
Year
2017
Pagerank
4.4091308e-05
Overall Rank
8,996 | 37.48%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,181 Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis 2019 VLDB 4.3792262e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
477 Model-Driven Data Acquisition in Sensor Networks 2004 VLDB 0.00022205608
745 Adaptive Precision Setting for Cached Approximate Values 2001 SIGMOD 0.00017215095
2,746 Toward Practical Query Pricing with QueryMarket 2013 SIGMOD 8.1824056e-05
5,565 Determining the Currency of Data 2011 PODS 5.4298528e-05
5,583 Challenges and Opportunities with Big Data 2012 VLDB 5.4207742e-05
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