| 924 |
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System |
2017 |
VLDB |
0.00013033863 |
| 1,151 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.000117662 |
| 1,306 |
Detecting Data Errors: Where are we and what needs to be done? |
2016 |
VLDB |
0.00011076619 |
| 2,040 |
Database Learning: Toward a Database that Becomes Smarter Every Time |
2017 |
SIGMOD |
9.1319608e-05 |
| 2,057 |
Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning |
2020 |
SIGMOD |
9.0995439e-05 |
| 2,675 |
Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries |
2018 |
VLDB |
8.1273838e-05 |
| 2,848 |
Towards Sustainable Insights or why polygamy is bad for you |
2017 |
CIDR |
7.9234942e-05 |
| 3,110 |
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows |
2022 |
VLDB |
7.6228505e-05 |
| 3,200 |
Extracting Top-K Insights from Multi-dimensional Data |
2017 |
SIGMOD |
7.5250098e-05 |
| 3,348 |
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making |
2017 |
VLDB |
7.3783668e-05 |
| 3,971 |
Smile: A System to Support Machine Learning on EEG Data at Scale |
2019 |
VLDB |
6.8764774e-05 |
| 4,345 |
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks |
2021 |
SIGMOD |
6.6388774e-05 |
| 4,519 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.551459e-05 |
| 4,747 |
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data |
2019 |
SIGMOD |
6.4260676e-05 |
| 5,049 |
Adaptive Sampling for Rapidly Matching Histograms |
2018 |
VLDB |
6.287033e-05 |
| 5,094 |
Data Collection and Quality Challenges for Deep Learning |
2020 |
VLDB |
6.264232e-05 |
| 5,355 |
Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First |
2026 |
CIDR |
6.1514948e-05 |
| 5,546 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
6.071729e-05 |
| 5,655 |
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python |
2021 |
SIGMOD |
6.0320824e-05 |
| 5,773 |
DeepEye: Creating Good Data Visualizations by Keyword Search |
2018 |
SIGMOD |
5.981599e-05 |
| 6,530 |
Fast-Forwarding to Desired Visualizations with zenvisage |
2017 |
CIDR |
5.7368132e-05 |
| 6,772 |
Spade: A Modular Framework for Analytical Exploration of RDF Graphs |
2019 |
VLDB |
5.669182e-05 |
| 6,895 |
Towards Democratizing Relational Data Visualization |
2019 |
SIGMOD |
5.6382396e-05 |
| 6,955 |
REACT: Context-Sensitive Recommendations for Data Analysis |
2016 |
SIGMOD |
5.6193552e-05 |
| 7,131 |
COVIZ: A System for Visual Formation and Exploration of Patient Cohorts |
2019 |
VLDB |
5.580601e-05 |
| 7,720 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
5.4542911e-05 |
| 8,229 |
Falcon: Fair Active Learning using Multi-armed Bandits |
2024 |
VLDB |
5.3578737e-05 |
| 8,375 |
FEDEX: An Explainability Framework for Data Exploration Steps |
2022 |
VLDB |
5.3280107e-05 |
| 8,727 |
Modern Recommender Systems: from Computing Matrices to Thinking with Neurons |
2018 |
SIGMOD |
5.2705676e-05 |
| 9,044 |
LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers |
2019 |
VLDB |
5.2176863e-05 |
| 9,224 |
Data-Driven Insight Synthesis for Multi-Dimensional Data |
2024 |
VLDB |
5.1913816e-05 |
| 9,555 |
Efficient Exploration of Interesting Aggregates in RDF Graphs |
2021 |
SIGMOD |
5.1487688e-05 |
| 9,612 |
On Detecting Cherry-picked Generalizations |
2022 |
VLDB |
5.1376962e-05 |
| 9,990 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
5.0845476e-05 |
| 10,209 |
Towards Autonomous, Hands-Free Data Exploration |
2020 |
CIDR |
5.0491152e-05 |
| 10,225 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
5.0460607e-05 |
| 10,547 |
Interpretable Attribute Discretization |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,697 |
Causal Explanations for Disparate Trends: Where and Why? |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,702 |
Data-Semantics-Aware Recommendation of Diverse Pivot Tables |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,925 |
PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines |
2026 |
VLDB |
4.9605343e-05 |
| 11,029 |
DataMagic: Transforming Tabular Data into Data Insight Video |
2026 |
VLDB |
4.9605343e-05 |
| 11,231 |
SeerCuts: Explainable Attribute Discretization |
2025 |
SIGMOD |
4.9605343e-05 |
| 11,385 |
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes |
2025 |
VLDB |
4.9605343e-05 |
| 11,422 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.9605343e-05 |
| 11,438 |
Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models |
2025 |
VLDB |
4.9605343e-05 |
| 11,508 |
SDEcho: Efficient Explanation of Aggregated Sequence Difference |
2025 |
VLDB |
4.9605343e-05 |
| 11,782 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.9605343e-05 |
| 12,029 |
Exploring Ratings in Subjective Databases |
2021 |
SIGMOD |
4.9605343e-05 |
| 12,118 |
Interactive View Recommendation |
2020 |
SIGMOD |
4.9605343e-05 |
| 12,235 |
Enabling Data Science for the Majority |
2019 |
VLDB |
4.9605343e-05 |