ExplainED: Explanations for EDA Notebooks
Summary: ExplainED attaches automatic explanations to views in EDA notebooks to illuminate exploratory steps. It ranks view interestingness, computes Shapley values on the top measure, and uses them to generate explanations for real notebooks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Deutch
- 2. Amir Gilad
- 3. Tova Milo
- 4. Amit Somech
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,981 | DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python | 2021 | SIGMOD | 5.2448986e-05 |
| 7,932 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB | 4.613363e-05 |
| 10,393 | SHARQ: Explainability Framework for Association Rules on Relational Data | 2025 | SIGMOD | 4.1945683e-05 |
| 11,123 | PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | Provenance Semirings | 2007 | PODS | 0.0007857786 |
| 214 | Scorpion: Explaining Away Outliers in Aggregate Queries | 2013 | VLDB | 0.0003363692 |
| 942 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015155714 |
| 1,993 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.8453334e-05 |
| 4,851 | Provenance for Natural Language Queries | 2017 | VLDB | 5.8768322e-05 |
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