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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
11134
Venue
VLDB
Year
2015
Pagerank
0.00022516069
Overall Rank
460 | 96.81%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 50 of 50 citing papers.

Rank Citing Paper Year Venue Pagerank
991 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.00014807273
1,420 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00012057956
1,612 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011142794
1,993 Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning 2020 SIGMOD 9.8453334e-05
2,132 Towards Sustainable Insights or why polygamy is bad for you 2017 CIDR 9.4770432e-05
2,588 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 8.4909562e-05
2,825 Smile: A System to Support Machine Learning on EEG Data at Scale 2019 VLDB 8.0563426e-05
2,953 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.8267643e-05
3,393 Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows 2022 VLDB 7.1483239e-05
3,546 Extracting Top-K Insights from Multi-dimensional Data 2017 SIGMOD 6.9870745e-05
3,835 I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making 2017 VLDB 6.7163364e-05
4,540 Automating Exploratory Data Analysis via Machine Learning: An Overview 2020 SIGMOD 6.1033443e-05
4,681 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.0034918e-05
4,825 Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks 2021 SIGMOD 5.8946721e-05
5,217 QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 2019 SIGMOD 5.6227959e-05
5,484 DeepEye: Creating Good Data Visualizations by Keyword Search 2018 SIGMOD 5.4826544e-05
5,785 REACT: Context-Sensitive Recommendations for Data Analysis 2016 SIGMOD 5.3284468e-05
5,810 Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data 2020 SIGMOD 5.3178017e-05
5,981 DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python 2021 SIGMOD 5.2448986e-05
6,009 COVIZ: A System for Visual Formation and Exploration of Patient Cohorts 2019 VLDB 5.2415551e-05
6,514 Spade: A Modular Framework for Analytical Exploration of RDF Graphs 2019 VLDB 5.0321577e-05
6,526 Data Collection and Quality Challenges for Deep Learning 2020 VLDB 5.0267429e-05
6,624 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 4.9890732e-05
6,842 Towards Democratizing Relational Data Visualization 2019 SIGMOD 4.9103931e-05
7,534 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 4.7180004e-05
8,296 Modern Recommender Systems: from Computing Matrices to Thinking with Neurons 2018 SIGMOD 4.5435639e-05
8,388 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 4.5297787e-05
8,830 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 4.4404336e-05
9,035 Data-Driven Insight Synthesis for Multi-Dimensional Data 2024 VLDB 4.4039656e-05
9,175 Efficient Exploration of Interesting Aggregates in RDF Graphs 2021 SIGMOD 4.383548e-05
9,365 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 4.3502315e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3109001e-05
9,830 Towards Autonomous, Hands-Free Data Exploration 2020 CIDR 4.2751057e-05
9,850 COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics 2021 VLDB 4.2721228e-05
9,992 Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First 2026 CIDR 4.1945683e-05
10,147 Causal Explanations for Disparate Trends: Where and Why? 2026 SIGMOD 4.1945683e-05
10,152 Data-Semantics-Aware Recommendation of Diverse Pivot Tables 2026 SIGMOD 4.1945683e-05
10,454 SeerCuts: Explainable Attribute Discretization 2025 SIGMOD 4.1945683e-05
10,685 LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes 2025 VLDB 4.1945683e-05
10,740 Finding Convincing Views to Endorse a Claim 2025 VLDB 4.1945683e-05
10,784 Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models 2025 VLDB 4.1945683e-05
10,875 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 4.1945683e-05
11,217 Efficient Approximation Framework for Attribute Recommendation 2023 SIGMOD 4.1945683e-05
11,419 On Detecting Cherry-picked Generalizations 2022 VLDB 4.1945683e-05
11,474 Exploring Ratings in Subjective Databases 2021 SIGMOD 4.1945683e-05
11,568 Interactive View Recommendation 2020 SIGMOD 4.1945683e-05
11,691 Enabling Data Science for the Majority 2019 VLDB 4.1945683e-05
11,777 Scout: A GPU-Aware System for Interactive Spatio-temporal Data Visualization 2017 SIGMOD 4.1945683e-05
11,786 Safe Visual Data Exploration 2017 SIGMOD 4.1945683e-05
11,796 A Declarative Query Processing System for Nowcasting 2017 VLDB 4.1945683e-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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