Controlling False Discoveries During Interactive Data Exploration
Summary: Interactive data exploration inflates false discoveries; standard FDR methods are ill-suited for this setting. We introduce QUDE and bespoke interactive control procedures for multiple hypotheses, integrating them into the exploration system and validating robust error control on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zheguang Zhao (Brown University)
- 2. Lorenzo De Stefani (Brown University)
- 3. Emanuel Zgraggen (Brown University)
- 4. Carsten Binnig (Brown University)
- 5. Eli Upfal (Brown University)
- 6. Tim Kraska (Brown University)
BibTeX Citation
@inproceedings{zhao_sigmod17,
title = {{Controlling False Discoveries During Interactive Data Exploration}},
author = {Zhao, Zheguang and De Stefani, Lorenzo and Zgraggen, Emanuel and Binnig, Carsten and Upfal, Eli and Kraska, Tim},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064019},
url = {https://dl.acm.org/doi/10.1145/3035918.3064019},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,392 | Northstar: An Interactive Data Science System | 2018 | VLDB | 0.00010936065 |
| 2,058 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.2480248e-05 |
| 2,728 | Uni-Detect: A Unified Approach to Automated Error Detection in Tables | 2019 | SIGMOD | 8.1995954e-05 |
| 4,395 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.7271323e-05 |
| 4,420 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB | 6.7132724e-05 |
| 6,315 | Data Collection and Quality Challenges for Deep Learning | 2020 | VLDB | 5.915447e-05 |
| 11,498 | SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration | 2023 | VLDB | 5.093636e-05 |
| 11,848 | Data Pipelines for User Group Analytics | 2019 | SIGMOD | 5.093636e-05 |
| 11,991 | Safe Visual Data Exploration | 2017 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,050 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.2546631e-05 |
| 2,109 | Analytic Database Technologies for a New Kind of User - The Data Enthusiast | 2012 | SIGMOD | 9.1548967e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,420 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB |
| 2 | 11,498 | SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration | 2023 | VLDB |
| 3 | 6,054 | Causal Data Integration | 2023 | VLDB |
| 4 | 1,506 | Query Steering for Interactive Data Exploration | 2013 | CIDR |
| 5 | 2,840 | Towards Sustainable Insights or why polygamy is bad for you | 2017 | CIDR |
| 6 | 3,380 | UGuide – User-Guided Discovery of FD-Detectable Errors | 2017 | SIGMOD |
| 7 | 12,328 | Controlling False Positives in Association Rule Mining | 2012 | VLDB |
| 8 | 2,677 | Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration | 2014 | SIGMOD |
| 9 | 9,592 | XmdvToolQ: Quality-Aware Interactive Data Exploration | 2007 | SIGMOD |
| 10 | 11,991 | Safe Visual Data Exploration | 2017 | SIGMOD |