Towards Sustainable Insights or why polygamy is bad for you
Summary: Shows automated visualization/exploration tools inflate false discoveries by surfacing spurious correlations (sauna–Stonebraker anecdote) and analyzes the implicit multiple-testing risks in current systems. Proposes QUDE to model and control exploration risk factors to bound false discoveries. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Carsten Binnig (Brown University)
- 2. Lorenzo De Stefani (Brown University)
- 3. Tim Kraska (Brown University)
- 4. Eli Upfal (Brown University)
- 5. Emanuel Zgraggen (Brown University)
- 6. Zheguang Zhao (Brown University)
BibTeX Citation
@inproceedings{binnig_cidr17,
address = {Amsterdam, Netherlands},
series = {{CIDR} '17},
title = {{Towards Sustainable Insights or why polygamy is bad for you}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Binnig, Carsten and De Stefani, Lorenzo and Kraska, Tim and Upfal, Eli and Zgraggen, Emanuel and Zhao, Zheguang},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,353 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.5902514e-05 |
| 5,759 | DeepEye: Creating Good Data Visualizations by Keyword Search | 2018 | SIGMOD | 6.0042797e-05 |
| 6,051 | A Demonstration of Interactive Analysis of Performance Measurements with Viska | 2017 | SIGMOD | 5.9029287e-05 |
| 6,490 | HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries | 2018 | VLDB | 5.7675055e-05 |
| 12,186 | Enabling Data Science for the Majority | 2019 | VLDB | 4.9793485e-05 |
| 12,289 | Safe Visual Data Exploration | 2017 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 395 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00019165452 |
| 537 | MLbase: A Distributed Machine-learning System | 2013 | CIDR | 0.00016768109 |
| 1,215 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011492648 |
| 1,720 | A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data | 2014 | SIGMOD | 9.7965659e-05 |
| 1,948 | VizDeck: Self-Organizing Dashboards for Visual Analytics | 2012 | SIGMOD | 9.3212031e-05 |
| 2,096 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.0550231e-05 |
| 2,139 | Analytic Database Technologies for a New Kind of User - The Data Enthusiast | 2012 | SIGMOD | 8.973568e-05 |
| 2,153 | Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets | 2016 | SIGMOD | 8.9480694e-05 |
| 6,880 | Estimating the Impact of Unknown Unknowns on Aggregate Query Results | 2016 | SIGMOD | 5.6573214e-05 |
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|---|---|---|---|---|
| 1 | 8,363 | Probabilistic Database Summarization for Interactive Data Exploration | 2017 | VLDB |
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| 9 | 3,280 | Controlling False Discoveries During Interactive Data Exploration | 2017 | SIGMOD |
| 10 | 12,289 | Safe Visual Data Exploration | 2017 | SIGMOD |