| 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 |