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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
10907
Venue
VLDB
Year
2013
Pagerank
0.00026096009
Overall Rank
191 | 98.70%
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 82 citing papers.

Rank Citing Paper Year Venue Pagerank
410 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.0001890421
663 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015174751
798 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00013919795
858 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.0001356511
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
1,323 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00011152602
1,351 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011064851
1,534 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010464308
1,792 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.7436856e-05
1,798 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.7361937e-05
1,943 Causality and Explanations in Databases 2014 VLDB 9.440636e-05
2,161 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 9.0606664e-05
2,185 Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets 2016 SIGMOD 9.0026006e-05
2,195 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.9713779e-05
2,584 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3783546e-05
2,759 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1577506e-05
3,004 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.8608629e-05
3,072 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.7873864e-05
3,127 Toward Computational Fact-Checking 2014 VLDB 7.7308958e-05
3,350 Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems 2014 VLDB 7.4942163e-05
3,445 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.4089141e-05
3,991 The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries 2016 VLDB 6.9695922e-05
4,638 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.5919801e-05
4,670 New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins 2020 PODS 6.5734205e-05
4,757 Pattern Functional Dependencies for Data Cleaning 2020 VLDB 6.5220005e-05
4,759 Explaining Wrong Queries Using Small Examples 2019 SIGMOD 6.5207388e-05
4,876 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.4687705e-05
4,890 Descriptive and Prescriptive Data Cleaning 2014 SIGMOD 6.4590072e-05
4,959 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.4283324e-05
5,050 CAPE: Explaining Outliers by Counterbalancing 2019 VLDB 6.3862246e-05
5,056 The Case for Data Visualization Management Systems 2014 VLDB 6.3823595e-05
5,131 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.3537809e-05
5,396 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.2329373e-05
5,919 PI2: End-to-end Interactive Visualization Interface Generation from Queries 2022 SIGMOD 6.0426677e-05
6,360 Approximate Summaries for Why and Why-not Provenance 2020 VLDB 5.9009081e-05
6,392 Qualitative Data Cleaning 2016 VLDB 5.8883971e-05
6,461 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.8718966e-05
6,523 Combining Design and Performance in a Data Visualization Management System 2017 CIDR 5.8518572e-05
6,576 Toward Interpretable and Actionable Data Analysis with Explanations and Causality 2022 VLDB 5.8364729e-05
6,737 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.7875328e-05
6,884 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.7465524e-05
6,932 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7362362e-05
7,269 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 5.6595955e-05
7,383 ExplainED: Explanations for EDA Notebooks 2020 VLDB 5.6284447e-05
7,878 Dependency-Driven Analytics: a Compass for Uncharted Data Oceans 2017 CIDR 5.5246167e-05
7,977 Interactive Query Explanations Using Fine Grained Provenance 2022 SIGMOD 5.5152578e-05
8,184 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.4709725e-05
8,598 Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation 2025 VLDB 5.4049137e-05
8,700 Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021 VLDB 5.3829336e-05
8,714 Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views 2015 VLDB 5.3778009e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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