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Adaptive Sampling for Rapidly Matching Histograms

Summary: FastMatch interactively retrieves top-k histograms nearest a user-specified distribution under L1 distance. HistSim combines theoretically sound adaptive sampling with asynchronous, block-based execution, achieving near-perfect accuracy and up to 35× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11805
Venue
VLDB
Year
2018
Pagerank
6.4428362e-05
Overall Rank
4,926 | 66.21%
DOI
10.14778/3231751.3231753

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{macke_vldb18,
        title = {{Adaptive Sampling for Rapidly Matching Histograms}},
        author = {Macke, Stephen and Zhang, Yiming and Huang, Silu and Parameswaran, Aditya},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {10},
        pages = {1262--1275},
        doi = {10.14778/3231751.3231753},
        url = {https://doi.org/10.14778/3231751.3231753},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
9 Online Aggregation 1997 SIGMOD 0.00077458002
76 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00037054261
178 Processing Aggregate Relational Queries with Hard Time Constraints 1989 SIGMOD 0.00026881845
267 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022798161
274 Balancing Histogram Optimality and Practicality for Query Result Size Estimation 1995 SIGMOD 0.00022645621
307 Approximate Query Processing Using Wavelets 2000 VLDB 0.00021792475
327 The Aqua Approximate Query Answering System 1999 SIGMOD 0.00021091539
410 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.0001890421
435 Histogram-Based Approximation of Set-Valued Query Answers 1999 VLDB 0.000185063
508 Random Sampling for Histogram Construction: How much is enough? 1998 SIGMOD 0.00017275873
553 Congressional Samples for Approximate Answering of Group-By Queries 2000 SIGMOD 0.00016590619
794 Bitmap Index Design and Evaluation 1998 SIGMOD 0.00013969303
909 Dynamic Sample Selection for Approximate Query Processing 2003 SIGMOD 0.00013291205
986 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.0001281777
1,166 ICICLES: Self-tuning Samples for Approximate Query Answering 2000 VLDB 0.00011850439
1,472 M4: A Visualization-Oriented Time Series Data Aggregation 2014 VLDB 0.00010668946
1,605 Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases 2008 VLDB 0.00010229844
1,634 Rapid Sampling for Visualizations with Ordering Guarantees 2015 VLDB 0.00010163938
1,664 Two-Level Sampling for Join Size Estimation 2017 SIGMOD 0.00010070362
1,827 G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data 2015 SIGMOD 9.6690206e-05
1,962 Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee 2016 SIGMOD 9.3978414e-05
2,109 Analytic Database Technologies for a New Kind of User - The Data Enthusiast 2012 SIGMOD 9.1548967e-05
3,042 Continuous Sampling for Online Aggregation Over Multiple Queries 2010 SIGMOD 7.8231049e-05
3,288 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 7.5578177e-05
5,906 Approximate Query Engines: Commercial Challenges and Research Opportunities 2017 SIGMOD 6.0457047e-05
7,275 Efficient Evaluation of Object-Centric Exploration Queries for Visualization 2015 VLDB 5.658426e-05
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