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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
11352
Venue
VLDB
Year
2015
Pagerank
0.00010163938
Overall Rank
1,634 | 88.80%
DOI
10.14778/2735479.2735486

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
410 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.0001890421
593 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00016027871
1,108 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012145154
1,198 Overview of Data Exploration Techniques 2015 SIGMOD 0.00011706307
1,431 Towards Scalable Dataframe Systems 2020 VLDB 0.00010807221
1,962 Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee 2016 SIGMOD 9.3978414e-05
1,995 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.3403665e-05
3,072 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.7873864e-05
3,288 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 7.5578177e-05
3,370 Revisiting Reuse for Approximate Query Processing 2017 VLDB 7.4700891e-05
3,869 Smile: A System to Support Machine Learning on EEG Data at Scale 2019 VLDB 7.0609879e-05
4,126 Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration 2018 SIGMOD 6.8860475e-05
4,926 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.4428362e-05
6,007 OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series 2023 SIGMOD 6.0114933e-05
6,028 Hillview: A trillion-cell spreadsheet for big data 2019 VLDB 6.0019322e-05
6,180 Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees 2024 VLDB 5.949572e-05
6,391 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.8893647e-05
6,737 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.7875328e-05
6,964 Data Vocalization with CiceroDB 2019 CIDR 5.7303405e-05
7,275 Efficient Evaluation of Object-Centric Exploration Queries for Visualization 2015 VLDB 5.658426e-05
7,316 SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint 2025 SIGMOD 5.646695e-05
8,161 LAQy: Efficient and Reusable Query Approximations via Lazy Sampling 2023 SIGMOD 5.4752972e-05
9,392 A Step Toward Deep Online Aggregation 2023 SIGMOD 5.2755515e-05
9,785 Secure Sampling for Approximate Multi-party Query Processing 2023 SIGMOD 5.2209769e-05
10,415 Visualization-Oriented Progressive Time Series Transformation 2026 SIGMOD 5.093636e-05
10,933 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 5.093636e-05
11,348 Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets 2024 VLDB 5.093636e-05
11,672 Exploring Ratings in Subjective Databases 2021 SIGMOD 5.093636e-05
11,841 A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP 2019 SIGMOD 5.093636e-05
11,886 Enabling Data Science for the Majority 2019 VLDB 5.093636e-05
11,932 Vocalizing Large Time Series Efficiently 2018 VLDB 5.093636e-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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