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Efficient Evaluation of Object-Centric Exploration Queries for Visualization

Summary: Formalizes object-centric exploration queries for visualization, focusing on 2D scatter plots with heatmaps to summarize results. Proposes an efficient, interactive-speed algorithm that treats the user query as a blackbox and yields an approximate visualization preserving outliers and overall distribution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11053
Venue
VLDB
Year
2015
Pagerank
4.7648346e-05
Overall Rank
7,314 | 49.12%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,835 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 6.7163364e-05
4,681 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.0034918e-05
11,691 Enabling Data Science for the Majority 2019 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,805 M4: A Visualization-Oriented Time Series Data Aggregation 2014 VLDB 0.00010493299
2,011 Rapid Sampling for Visualizations with Ordering Guarantees 2015 VLDB 9.7964875e-05
4,157 Computational Journalism: A Call to Arms to Database Researchers 2011 CIDR 6.3997218e-05
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