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Safe Visual Data Exploration

Summary: QUDE, a visual data exploration system, enables hypothesis formulation from visualizations while mitigating spurious insights caused by noise and multiple comparisons. It offers interactive control of false discoveries, providing statistical safeguards during exploration and recommendations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5444
Venue
SIGMOD
Year
2017
Pagerank
5.093636e-05
Overall Rank
11,991 | 17.74%
DOI
10.1145/3035918.3058749

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{zhao_sigmod17,
        title = {{Safe Visual Data Exploration}},
        author = {Zhao, Zheguang and Zgraggen, Emanuel and De Stefani, Lorenzo 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 = {10.1145/3035918.3058749},
        url = {https://dl.acm.org/doi/10.1145/3035918.3058749},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
1,392 Northstar: An Interactive Data Science System 2018 VLDB 0.00010936065
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Outgoing Citations (Sorted by Pagerank)

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