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SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics

Summary: SeeDB is a data-driven visualization recommender that, for a data subset, quickly explores visualizations to surface relevant trends. It uses pruning and sharing for interactive latency, adopts a deviation-based utility metric, and runs as DBMS middleware to deliver orders-of-magnitude speedups for visual analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11322
Venue
VLDB
Year
2015
Pagerank
0.0001890421
Overall Rank
410 | 97.19%
DOI
10.14778/2831360.2831371

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{vartak_vldb15,
        title = {{SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics}},
        author = {Vartak, Manasi and Rahman, Sajjadur and Madden, Samuel and Parameswaran, Aditya and Polyzotis, Neoklis},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {13},
        pages = {2182--2193},
        doi = {10.14778/2831360.2831371},
        url = {https://doi.org/10.14778/2831360.2831371},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 51 citing papers.

Rank Citing Paper Year Venue Pagerank
986 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.0001281777
1,147 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00011974846
1,351 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011064851
1,995 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.3403665e-05
2,058 Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning 2020 SIGMOD 9.2480248e-05
2,747 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 8.1711208e-05
2,840 Towards Sustainable Insights or why polygamy is bad for you 2017 CIDR 8.0650295e-05
3,072 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.7873864e-05
3,132 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 7.7246394e-05
3,288 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 7.5578177e-05
3,869 Smile: A System to Support Machine Learning on EEG Data at Scale 2019 VLDB 7.0609879e-05
4,395 Automating Exploratory Data Analysis via Machine Learning: An Overview 2020 SIGMOD 6.7271323e-05
4,628 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 6.5962102e-05
4,809 Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks 2021 SIGMOD 6.4984309e-05
4,926 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.4428362e-05
5,524 Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data 2020 SIGMOD 6.1868208e-05
5,620 DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python 2021 SIGMOD 6.1482864e-05
5,634 DeepEye: Creating Good Data Visualizations by Keyword Search 2018 SIGMOD 6.1412942e-05
6,210 Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First 2026 CIDR 5.9425753e-05
6,315 Data Collection and Quality Challenges for Deep Learning 2020 VLDB 5.915447e-05
6,391 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.8893647e-05
6,618 Spade: A Modular Framework for Analytical Exploration of RDF Graphs 2019 VLDB 5.8212982e-05
6,737 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.7875328e-05
6,799 REACT: Context-Sensitive Recommendations for Data Analysis 2016 SIGMOD 5.7701345e-05
6,966 COVIZ: A System for Visual Formation and Exploration of Patient Cohorts 2019 VLDB 5.7303405e-05
7,551 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.6006414e-05
8,043 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 5.5013766e-05
8,184 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.4709725e-05
8,530 Modern Recommender Systems: from Computing Matrices to Thinking with Neurons 2018 SIGMOD 5.4119882e-05
8,852 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 5.357688e-05
9,020 Data-Driven Insight Synthesis for Multi-Dimensional Data 2024 VLDB 5.3306775e-05
9,339 Efficient Exploration of Interesting Aggregates in RDF Graphs 2021 SIGMOD 5.2869213e-05
9,773 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 5.2209769e-05
9,977 Towards Autonomous, Hands-Free Data Exploration 2020 CIDR 5.1845938e-05
10,002 COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics 2021 VLDB 5.1814573e-05
10,257 Interpretable Attribute Discretization 2026 SIGMOD 5.093636e-05
10,436 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 5.093636e-05
10,441 Data-Semantics-Aware Recommendation of Diverse Pivot Tables 2026 SIGMOD 5.093636e-05
10,735 SeerCuts: Explainable Attribute Discretization 2025 SIGMOD 5.093636e-05
10,933 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 5.093636e-05
10,979 Finding Convincing Views to Endorse a Claim 2025 VLDB 5.093636e-05
11,013 Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models 2025 VLDB 5.093636e-05
11,098 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 5.093636e-05
11,418 Efficient Approximation Framework for Attribute Recommendation 2023 SIGMOD 5.093636e-05
11,617 On Detecting Cherry-picked Generalizations 2022 VLDB 5.093636e-05
11,672 Exploring Ratings in Subjective Databases 2021 SIGMOD 5.093636e-05
11,765 Interactive View Recommendation 2020 SIGMOD 5.093636e-05
11,886 Enabling Data Science for the Majority 2019 VLDB 5.093636e-05
11,982 Scout: A GPU-Aware System for Interactive Spatio-temporal Data Visualization 2017 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 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.00071822821
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00026096009
207 On the Computation of Multidimensional Aggregates 1996 VLDB 0.00025088003
509 Supporting Top-k Join Queries in Relational Databases 2003 VLDB 0.00017220967
700 Explaining differences in multidimensional aggregates 1999 VLDB 0.00014871032
915 Intelligent Rollups in Multidimensional OLAP Data 2001 VLDB 0.00013243386
965 User-adaptive exploration of multidimensional data 2000 VLDB 0.00012933878
1,098 Google Fusion Tables: Web-Centered Data Management and Collaboration 2010 SIGMOD 0.00012179025
1,634 Rapid Sampling for Visualizations with Ordering Guarantees 2015 VLDB 0.00010163938
1,932 VizDeck: Self-Organizing Dashboards for Visual Analytics 2012 SIGMOD 9.4646634e-05
1,933 Red Brick Warehouse: A Read-Mostly RDBMS for Open SMP Platforms 1994 SIGMOD 9.4642118e-05
3,350 Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems 2014 VLDB 7.4942163e-05
4,864 SeeDB: Automatically Generating Query Visualizations 2014 VLDB 6.4736789e-05
5,329 SeeDB: Visualizing Database Queries Efficiently 2014 VLDB 6.2634965e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 8,174 Databases will Visualize Queries too 2011 VLDB
2 8,143 View Selection in Semantic Web Databases 2012 VLDB
3 5,177 Databases and Visualization 1996 SIGMOD
4 3,425 Foresight: Recommending Visual Insights 2017 VLDB
5 13,565 Data Visualization Management Systems 2015 CIDR
6 14,276 VisDB: A System for Visualizing Large Databases 1995 SIGMOD
7 10,933 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB
8 11,765 Interactive View Recommendation 2020 SIGMOD
9 4,864 SeeDB: Automatically Generating Query Visualizations 2014 VLDB
10 5,329 SeeDB: Visualizing Database Queries Efficiently 2014 VLDB