SeeDB: Visualizing Database Queries Efficiently
Summary: SeeDB extends DBMS optimization to jointly explore the space of query plans and possible result visualizations. It outputs recommended visualizations paired with suitable execution plans, automating visualization discovery and outlining a research agenda for future work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 460 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00022516069 |
| 1,552 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011408814 |
| 2,011 | Rapid Sampling for Visualizations with Ordering Guarantees | 2015 | VLDB | 9.7964875e-05 |
| 2,733 | The Case for Data Visualization Management Systems [Vision Paper] | 2014 | VLDB | 8.2078862e-05 |
| 4,420 | ASAP: Prioritizing Attention via Time Series Smoothing | 2017 | VLDB | 6.2011459e-05 |
| 5,107 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB | 5.6925578e-05 |
| 6,624 | Fast-Forwarding to Desired Visualizations with zenvisage | 2017 | CIDR | 4.9890732e-05 |
| 11,579 | AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases | 2020 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | Online Aggregation | 1997 | SIGMOD | 0.0010801504 |
| 308 | Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports | 2001 | VLDB | 0.00028142852 |
| 405 | Approximate Query Processing Using Wavelets | 2000 | VLDB | 0.00024057494 |
| 767 | Explaining differences in multidimensional aggregates | 1999 | VLDB | 0.00016981309 |
| 883 | Google Fusion Tables: Web-Centered Data Management and Collaboration | 2010 | SIGMOD | 0.00015656548 |
| 1,000 | Intelligent Rollups in Multidimensional OLAP Data | 2001 | VLDB | 0.00014709252 |
| 1,137 | User-adaptive exploration of multidimensional data | 2000 | VLDB | 0.00013730532 |
| 1,425 | Scalable Approximate Query Processing With The DBO Engine | 2007 | SIGMOD | 0.00012051353 |
| 2,160 | DEVise: Integrated Querying and Visual Exploration of Large Datasets | 1997 | SIGMOD | 9.4065027e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,274 | Databases and Visualization | 1996 | SIGMOD | 6.3001297e-05 |
| 2,733 | The Case for Data Visualization Management Systems [Vision Paper] | 2014 | VLDB | 8.2078862e-05 |
| 14,077 | VisDB: A System for Visualizing Large Databases | 1995 | SIGMOD | - |
| 7,010 | QueryScope: Visualizing Queries for Repeatable Database Tuning | 2008 | VLDB | 4.8634875e-05 |
| 3,658 | Towards a Hands-Free Query Optimizer through Deep Learning | 2019 | CIDR | 6.8704209e-05 |
| 13,364 | Data Visualization Management Systems | 2015 | CIDR | - |
| 7,440 | Interactive Plan Hints for Query Optimization | 2009 | SIGMOD | 4.7302233e-05 |
| 8,111 | Databases will Visualize Queries too* | 2011 | VLDB | 4.5842786e-05 |
| 460 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00022516069 |
| 5,107 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB | 5.6925578e-05 |