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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
11135
Venue
VLDB
Year
2015
Pagerank
0.00022615628
Overall Rank
461 | 96.80%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 50 of 50 citing papers.

Rank Citing Paper Year Venue Pagerank
992 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.00014795333
1,403 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00012180046
1,422 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00012050431
1,992 Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning 2020 SIGMOD 9.8415851e-05
2,135 Towards Sustainable Insights or why polygamy is bad for you 2017 CIDR 9.4681152e-05
2,589 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 8.4868591e-05
2,831 Smile: A System to Support Machine Learning on EEG Data at Scale 2019 VLDB 8.0485807e-05
2,954 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.8218804e-05
3,393 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.1415762e-05
3,542 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 6.9896948e-05
3,841 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 6.7090738e-05
4,540 Automating Exploratory Data Analysis via Machine Learning: An Overview 2020 SIGMOD 6.0978937e-05
4,679 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 5.9978792e-05
4,829 Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks 2021 SIGMOD 5.8890126e-05
5,193 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 5.6322426e-05
5,493 DeepEye: Creating Good Data Visualizations by Keyword Search 2018 SIGMOD 5.4773922e-05
5,796 REACT: Context-Sensitive Recommendations for Data Analysis 2016 SIGMOD 5.3233294e-05
5,815 Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data 2020 SIGMOD 5.3158788e-05
5,984 DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python 2021 SIGMOD 5.2400405e-05
6,014 COVIZ: A System for Visual Formation and Exploration of Patient Cohorts 2019 VLDB 5.2365238e-05
6,510 Spade: A Modular Framework for Analytical Exploration of RDF Graphs 2019 VLDB 5.0273291e-05
6,526 Data Collection and Quality Challenges for Deep Learning 2020 VLDB 5.0219175e-05
6,623 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 4.984297e-05
6,840 Towards Democratizing Relational Data Visualization 2019 SIGMOD 4.9058387e-05
7,533 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 4.7134753e-05
8,290 Modern Recommender Systems: from Computing Matrices to Thinking with Neurons 2018 SIGMOD 4.5392079e-05
8,388 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 4.525436e-05
8,830 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 4.4361772e-05
9,019 Data-Driven Insight Synthesis for Multi-Dimensional Data 2024 VLDB 4.4052498e-05
9,179 Efficient Exploration of Interesting Aggregates in RDF Graphs 2021 SIGMOD 4.3793465e-05
9,373 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 4.3460825e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3067693e-05
9,829 Towards Autonomous, Hands-Free Data Exploration 2020 CIDR 4.2710095e-05
9,850 COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics 2021 VLDB 4.2680295e-05
9,991 Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First 2026 CIDR 4.1905499e-05
10,147 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.1905499e-05
10,152 Data-Semantics-Aware Recommendation of Diverse Pivot Tables 2026 SIGMOD 4.1905499e-05
10,464 SeerCuts: Explainable Attribute Discretization 2025 SIGMOD 4.1905499e-05
10,693 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 4.1905499e-05
10,747 Finding Convincing Views to Endorse a Claim 2025 VLDB 4.1905499e-05
10,790 Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models 2025 VLDB 4.1905499e-05
10,879 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 4.1905499e-05
11,219 Efficient Approximation Framework for Attribute Recommendation 2023 SIGMOD 4.1905499e-05
11,422 On Detecting Cherry-picked Generalizations 2022 VLDB 4.1905499e-05
11,478 Exploring Ratings in Subjective Databases 2021 SIGMOD 4.1905499e-05
11,572 Interactive View Recommendation 2020 SIGMOD 4.1905499e-05
11,696 Enabling Data Science for the Majority 2019 VLDB 4.1905499e-05
11,785 Scout: A GPU-Aware System for Interactive Spatio-temporal Data Visualization 2017 SIGMOD 4.1905499e-05
11,794 Safe Visual Data Exploration 2017 SIGMOD 4.1905499e-05
11,804 A Declarative Query Processing System for Nowcasting 2017 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

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