XInsight: eXplainable Data Analysis Through The Lens of Causality
Summary: XInsight enables eXplainable Data Analysis (XDA) via causality in EDA. A three-module pipeline: causal graph extraction, XDA-semantics translation, and explanation attribution, addresses integration challenges; experiments and user study validate its promise. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Pingchuan Ma (Hong Kong University of Science and Technology)
- 2. Rui Ding (Microsoft)
- 3. Shuai Wang (Hong Kong University of Science and Technology)
- 4. Shi Han (Microsoft)
- 5. Dongmei Zhang (Microsoft)
BibTeX Citation
@inproceedings{ma_sigmod23,
title = {{XInsight: eXplainable Data Analysis Through The Lens of Causality}},
author = {Ma, Pingchuan and Ding, Rui and Wang, Shuai and Han, Shi and Zhang, Dongmei},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589301},
url = {https://dl.acm.org/doi/10.1145/3589301},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,932 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7362362e-05 |
| 9,773 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 5.2209769e-05 |
| 10,018 | From Logs to Causal Inference: Diagnosing Large Systems | 2025 | VLDB | 5.1757914e-05 |
| 10,391 | Privacy-preserving and Verifiable Causal Prescriptive Analytics | 2026 | SIGMOD | 5.093636e-05 |
| 10,436 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 5.093636e-05 |
| 10,502 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 5.093636e-05 |
| 10,710 | CauSumX: Summarized Causal Explanations For Group-By-Average Queries | 2025 | SIGMOD | 5.093636e-05 |
| 10,979 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 5.093636e-05 |
| 11,013 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 5.093636e-05 |
| 11,098 | SDEcho: Efficient Explanation of Aggregated Sequence Difference | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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