MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Summary: MetaInsight provides a structured knowledge representation for automated EDA by organizing data patterns into HDPs and separating commonnesses from exceptions. A fast scoring, mining, and ranking pipeline discovers high-quality MetaInsights, validated on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pingchuan Ma
- 2. Rui Ding
- 3. Shi Han
- 4. Dongmei Zhang
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,321 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD | 5.5676564e-05 |
| 9,019 | Data-Driven Insight Synthesis for Multi-Dimensional Data | 2024 | VLDB | 4.4052498e-05 |
| 10,790 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,790 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1905499e-05 |
| 7,360 | ExplainED: Explanations for EDA Notebooks | 2020 | VLDB | 4.7473724e-05 |
| 1,627 | Data Profiling with Metanome | 2015 | VLDB | 0.0001108421 |
| 11,346 | Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment | 2022 | SIGMOD | 4.1905499e-05 |
| 5,321 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD | 5.5676564e-05 |
| 2,983 | Foresight: Recommending Visual Insights | 2017 | VLDB | 7.77698e-05 |
| 3,542 | Extracting Top-K Insights from Multi-dimensional Data | 2017 | SIGMOD | 6.9896948e-05 |
| 9,019 | Data-Driven Insight Synthesis for Multi-Dimensional Data | 2024 | VLDB | 4.4052498e-05 |
| 4,540 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.0978937e-05 |
| 5,193 | QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data | 2019 | SIGMOD | 5.6322426e-05 |