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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
hcc32e1f189d2c148
Venue
VLDB
Year
2015
Pagerank
0.00019165452
Overall Rank
395 | 97.35%
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 53 citing papers.

Rank Citing Paper Year Venue Pagerank
924 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.00013057136
1,153 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00011798912
1,344 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00010956518
2,027 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.1618139e-05
2,048 Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning 2020 SIGMOD 9.1229916e-05
2,798 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.9933329e-05
2,838 Towards Sustainable Insights or why polygamy is bad for you 2017 CIDR 7.9527257e-05
3,098 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.6517623e-05
3,188 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 7.5535445e-05
3,341 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 7.4063139e-05
3,955 Smile: A System to Support Machine Learning on EEG Data at Scale 2019 VLDB 6.9025583e-05
4,497 Automating Exploratory Data Analysis via Machine Learning: An Overview 2020 SIGMOD 6.5763072e-05
4,725 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 6.4504342e-05
4,864 Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks 2021 SIGMOD 6.3770469e-05
5,021 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.3106761e-05
5,071 Data Collection and Quality Challenges for Deep Learning 2020 VLDB 6.2879908e-05
5,391 Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First 2026 CIDR 6.1504174e-05
5,573 Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data 2020 SIGMOD 6.0794156e-05
5,640 DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python 2021 SIGMOD 6.0548401e-05
5,759 DeepEye: Creating Good Data Visualizations by Keyword Search 2018 SIGMOD 6.0042797e-05
6,517 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.7585571e-05
6,747 Spade: A Modular Framework for Analytical Exploration of RDF Graphs 2019 VLDB 5.6906839e-05
6,875 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.6589849e-05
6,933 REACT: Context-Sensitive Recommendations for Data Analysis 2016 SIGMOD 5.6406682e-05
7,106 COVIZ: A System for Visual Formation and Exploration of Patient Cohorts 2019 VLDB 5.601767e-05
7,701 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.474978e-05
8,205 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 5.3781556e-05
8,355 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3482186e-05
8,699 Modern Recommender Systems: from Computing Matrices to Thinking with Neurons 2018 SIGMOD 5.2905577e-05
9,015 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 5.2374759e-05
9,192 Data-Driven Insight Synthesis for Multi-Dimensional Data 2024 VLDB 5.2110714e-05
9,517 Efficient Exploration of Interesting Aggregates in RDF Graphs 2021 SIGMOD 5.1682969e-05
9,579 On Detecting Cherry-picked Generalizations 2022 VLDB 5.1571823e-05
9,949 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 5.1038322e-05
10,171 Towards Autonomous, Hands-Free Data Exploration 2020 CIDR 5.0682654e-05
10,189 COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics 2021 VLDB 5.0651993e-05
10,470 Interpretable Attribute Discretization 2026 SIGMOD 4.9793485e-05
10,625 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.9793485e-05
10,630 Data-Semantics-Aware Recommendation of Diverse Pivot Tables 2026 SIGMOD 4.9793485e-05
10,855 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9793485e-05
10,959 DataMagic: Transforming Tabular Data into Data Insight Video 2026 VLDB 4.9793485e-05
11,163 SeerCuts: Explainable Attribute Discretization 2025 SIGMOD 4.9793485e-05
11,323 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 4.9793485e-05
11,362 Finding Convincing Views to Endorse a Claim 2025 VLDB 4.9793485e-05
11,379 Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models 2025 VLDB 4.9793485e-05
11,450 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 4.9793485e-05
11,732 Efficient Approximation Framework for Attribute Recommendation 2023 SIGMOD 4.9793485e-05
11,979 Exploring Ratings in Subjective Databases 2021 SIGMOD 4.9793485e-05
12,068 Interactive View Recommendation 2020 SIGMOD 4.9793485e-05
12,186 Enabling Data Science for the Majority 2019 VLDB 4.9793485e-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.

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