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Rapid Sampling for Visualizations with Ordering Guarantees

Summary: Proposes sampling algorithms that preserve visual orderings to rapidly generate approximate visualizations (e.g., bar charts) with provable ordering guarantees. Shows optimal sample complexity and practical speedups - orders of magnitude fewer samples and run time than conventional methods, with broad applicability to related visual properties. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h3ed4c72423107070
Venue
VLDB
Year
2015
Pagerank
9.9502569e-05
Overall Rank
1,662 | 88.84%
DOI
10.14778/2735479.2735486
PDF
Download (CC BY-NC-ND 3.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kim_vldb15,
        title = {{Rapid Sampling for Visualizations with Ordering Guarantees}},
        author = {Kim, Albert and Blais, Eric and Parameswaran, Aditya and Indyk, Piotr and Madden, Sam and Rubinfeld, Ronitt},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {5},
        pages = {521--532},
        doi = {10.14778/2735479.2735486},
        url = {https://doi.org/10.14778/2735479.2735486},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
395 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.00019156481
596 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015782051
1,061 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012208639
1,216 Overview of Data Exploration Techniques 2015 SIGMOD 0.00011487268
1,370 Towards Scalable Dataframe Systems 2020 VLDB 0.00010895207
2,003 Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee 2016 SIGMOD 9.2071735e-05
2,028 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.1584244e-05
3,100 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.64814e-05
3,341 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 7.4028264e-05
3,417 Revisiting Reuse for Approximate Query Processing 2017 VLDB 7.3184905e-05
3,956 Smile: A System to Support Machine Learning on EEG Data at Scale 2019 VLDB 6.8992907e-05
4,211 Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration 2018 SIGMOD 6.7290558e-05
5,025 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.3078009e-05
5,930 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 5.9410245e-05
6,136 OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series 2023 SIGMOD 5.8738296e-05
6,319 Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees 2024 VLDB 5.8133264e-05
6,519 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.755832e-05
6,857 SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint 2025 SIGMOD 5.6621524e-05
6,878 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.6563449e-05
7,106 Data Vocalization with CiceroDB 2019 CIDR 5.5991152e-05
7,424 Efficient Evaluation of Object-Centric Exploration Queries for Visualization 2015 VLDB 5.5298149e-05
8,336 LAQy: Efficient and Reusable Query Approximations via Lazy Sampling 2023 SIGMOD 5.3508072e-05
9,583 A Step Toward Deep Online Aggregation 2023 SIGMOD 5.154741e-05
9,972 Secure Sampling for Approximate Multi-party Query Processing 2023 SIGMOD 5.1014161e-05
10,617 Visualization-Oriented Progressive Time Series Transformation 2026 SIGMOD 4.9769913e-05
11,331 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 4.9769913e-05
11,672 Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets 2024 VLDB 4.9769913e-05
11,985 Exploring Ratings in Subjective Databases 2021 SIGMOD 4.9769913e-05
12,148 A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP 2019 SIGMOD 4.9769913e-05
12,192 Enabling Data Science for the Majority 2019 VLDB 4.9769913e-05
12,237 Vocalizing Large Time Series Efficiently 2018 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

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