Automating Exploratory Data Analysis via Machine Learning: An Overview
Summary: Survey of automating Exploratory Data Analysis (EDA) via ML, from action recommendations to deep RL/seq2seq for end-to-end EDA. Discusses data-management challenges, modeling user interest, and open questions to reduce manual exploratory effort. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tova Milo (Tel Aviv University)
- 2. Amit Somech (Tel Aviv University)
BibTeX Citation
@inproceedings{milo_sigmod20,
title = {{Automating Exploratory Data Analysis via Machine Learning: An Overview}},
author = {Milo, Tova and Somech, Amit},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3383126},
url = {https://dl.acm.org/doi/10.1145/3318464.3383126},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,034 | Missing Value Imputation on Multidimensional Time Series | 2021 | VLDB | 6.9446462e-05 |
| 4,876 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD | 6.4687705e-05 |
| 8,520 | Knowledge Graph Exploration Systems: are we lost? | 2022 | CIDR | 5.4119882e-05 |
| 8,974 | MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis | 2021 | SIGMOD | 5.3413784e-05 |
| 11,013 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 5.093636e-05 |
| 11,661 | PyExplore: Query Recommendations for Data Exploration without Query Logs | 2021 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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