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Scorpion: Explaining Away Outliers in Aggregate Queries

Summary: Scorpion takes user-specified outlier points from aggregate results and derives input predicates that remove those outliers. Defines predicate influence and uses efficient max-influence search to reveal explanations faster than naive search. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h41230e4311da28c3
Venue
VLDB
Year
2013
Pagerank
0.0002578784
Overall Rank
191 | 98.73%
DOI
10.14778/2536206.2536209

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wu_vldb13,
        title = {{Scorpion: Explaining Away Outliers in Aggregate Queries}},
        author = {Wu, Eugene and Madden, Samuel},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {8},
        pages = {553--564},
        doi = {10.14778/2536206.2536209},
        url = {https://doi.org/10.14778/2536206.2536209},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 83 citing papers.

Rank Citing Paper Year Venue Pagerank
395 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.00019125046
672 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014903109
757 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014202187
853 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013437314
879 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013255435
989 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00012638176
1,306 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011076619
1,548 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010265663
1,722 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.781628e-05
1,844 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5112726e-05
1,989 Causality and Explanations in Databases 2014 VLDB 9.2277193e-05
2,167 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 8.9166414e-05
2,170 Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets 2016 SIGMOD 8.9149718e-05
2,233 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.7844607e-05
2,373 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5434538e-05
2,473 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3984284e-05
2,685 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.116387e-05
3,110 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.6228505e-05
3,183 Toward Computational Fact-Checking 2014 VLDB 7.5408249e-05
3,394 Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems 2014 VLDB 7.3281693e-05
3,525 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2156031e-05
4,085 The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries 2016 VLDB 6.7989526e-05
4,538 Pattern Functional Dependencies for Data Cleaning 2020 VLDB 6.5398994e-05
4,742 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4285195e-05
4,769 New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins 2020 PODS 6.4131333e-05
4,852 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.3680596e-05
4,871 Explaining Wrong Queries Using Small Examples 2019 SIGMOD 6.3583165e-05
5,008 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.3049458e-05
5,022 Descriptive and Prescriptive Data Cleaning 2014 SIGMOD 6.2989483e-05
5,174 CAPE: Explaining Outliers by Counterbalancing 2019 VLDB 6.2291886e-05
5,203 The Case for Data Visualization Management Systems 2014 VLDB 6.2172569e-05
5,273 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.1887043e-05
5,556 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0705311e-05
6,054 PI2: End-to-end Interactive Visualization Interface Generation from Queries 2022 SIGMOD 5.8847669e-05
6,327 Qualitative Data Cleaning 2016 VLDB 5.7945802e-05
6,450 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7635046e-05
6,502 Approximate Summaries for Why and Why-not Provenance 2020 VLDB 5.7468661e-05
6,608 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7187078e-05
6,663 Combining Design and Performance in a Data Visualization Management System 2017 CIDR 5.7001805e-05
6,718 Toward Interpretable and Actionable Data Analysis with Explanations and Causality 2022 VLDB 5.6843134e-05
6,895 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.6382396e-05
7,050 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.5965026e-05
7,404 Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021 VLDB 5.5178575e-05
7,443 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 5.5117047e-05
7,531 ExplainED: Explanations for EDA Notebooks 2020 VLDB 5.4858756e-05
7,722 Interactive Query Explanations Using Fine Grained Provenance 2022 SIGMOD 5.4538143e-05
7,932 Complaint-Driven Training Data Debugging at Interactive Speeds 2022 SIGMOD 5.4074941e-05
7,943 Outlier Summarization via Human Interpretable Rules 2024 VLDB 5.4054523e-05
8,048 Dependency-Driven Analytics: a Compass for Uncharted Data Oceans 2017 CIDR 5.3842397e-05
8,375 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3280107e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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