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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
0.00025840026
Overall Rank
189 | 98.74%
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 0.00019165452
670 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014954494
782 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014022168
878 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013302631
883 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013268059
1,043 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00012335114
1,344 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00010956518
1,544 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010304574
1,746 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.7341914e-05
1,833 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5405247e-05
1,981 Causality and Explanations in Databases 2014 VLDB 9.2586863e-05
2,153 Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets 2016 SIGMOD 8.9480694e-05
2,160 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 8.9364035e-05
2,222 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.8109051e-05
2,371 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5615698e-05
2,598 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.2385793e-05
2,686 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1308928e-05
3,098 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.6517623e-05
3,178 Toward Computational Fact-Checking 2014 VLDB 7.5655186e-05
3,386 Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems 2014 VLDB 7.3546246e-05
3,514 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2429609e-05
4,062 The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries 2016 VLDB 6.8247395e-05
4,739 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4441962e-05
4,747 New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins 2020 PODS 6.4374568e-05
4,827 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.3917868e-05
4,843 Pattern Functional Dependencies for Data Cleaning 2020 VLDB 6.3839159e-05
4,847 Explaining Wrong Queries Using Small Examples 2019 SIGMOD 6.3823876e-05
4,982 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.328859e-05
4,998 Descriptive and Prescriptive Data Cleaning 2014 SIGMOD 6.3207886e-05
5,151 CAPE: Explaining Outliers by Counterbalancing 2019 VLDB 6.2528145e-05
5,180 The Case for Data Visualization Management Systems 2014 VLDB 6.240722e-05
5,247 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.2121767e-05
5,529 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0935553e-05
6,039 PI2: End-to-end Interactive Visualization Interface Generation from Queries 2022 SIGMOD 5.9070865e-05
6,381 Qualitative Data Cleaning 2016 VLDB 5.8066959e-05
6,436 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7853643e-05
6,486 Approximate Summaries for Why and Why-not Provenance 2020 VLDB 5.7686627e-05
6,600 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7403306e-05
6,647 Combining Design and Performance in a Data Visualization Management System 2017 CIDR 5.7217042e-05
6,699 Toward Interpretable and Actionable Data Analysis with Explanations and Causality 2022 VLDB 5.7058728e-05
6,875 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.6589849e-05
7,028 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.6177289e-05
7,383 Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021 VLDB 5.5387855e-05
7,419 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 5.5326094e-05
7,508 ExplainED: Explanations for EDA Notebooks 2020 VLDB 5.5066763e-05
7,703 Interactive Query Explanations Using Fine Grained Provenance 2022 SIGMOD 5.4744994e-05
7,924 Outlier Summarization via Human Interpretable Rules 2024 VLDB 5.425954e-05
8,027 Dependency-Driven Analytics: a Compass for Uncharted Data Oceans 2017 CIDR 5.4043169e-05
8,355 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3482186e-05
8,495 Provenance-based Data Skipping 2022 VLDB 5.3304338e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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