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Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning

Summary: ATENA uses deep reinforcement learning to auto-generate full EDA notebooks from a dataset. By framing exploration as a control problem and employing a novel DRL architecture with a restricted operation set, it yields usable, insight-revealing sessions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6056
Venue
SIGMOD
Year
2020
Pagerank
9.2480248e-05
Overall Rank
2,058 | 85.89%
DOI
10.1145/3318464.3389779

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{el_sigmod20,
        title = {{Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning}},
        author = {El, Ori Bar and 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 = {10.1145/3318464.3389779},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389779},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
4,395 Automating Exploratory Data Analysis via Machine Learning: An Overview 2020 SIGMOD 6.7271323e-05
6,039 Guided Exploration of User Groups 2020 VLDB 5.9990875e-05
6,443 AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting 2023 SIGMOD 5.8775356e-05
7,003 Guided Exploration of Data Summaries 2022 VLDB 5.7278883e-05
7,383 ExplainED: Explanations for EDA Notebooks 2020 VLDB 5.6284447e-05
8,177 HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation 2023 SIGMOD 5.4730821e-05
8,184 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.4709725e-05
8,328 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.4535681e-05
9,293 Intelligent Agents for Data Exploration 2024 VLDB 5.2907112e-05
10,441 Data-Semantics-Aware Recommendation of Diverse Pivot Tables 2026 SIGMOD 5.093636e-05
10,831 Holistic query Approximation via RL Modeling 2025 VLDB 5.093636e-05
10,931 AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework 2025 VLDB 5.093636e-05
11,560 Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications 2022 SIGMOD 5.093636e-05
11,592 EDA4SUM: Guided Exploration of Data Summaries 2022 VLDB 5.093636e-05
11,627 Leam: An Interactive System for In-situ Visual Text Analysis 2021 CIDR 5.093636e-05
11,672 Exploring Ratings in Subjective Databases 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
410 SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics 2015 VLDB 0.0001890421
986 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.0001281777
1,392 Northstar: An Interactive Data Science System 2018 VLDB 0.00010936065
2,185 Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets 2016 SIGMOD 9.0026006e-05
3,258 Controlling False Discoveries During Interactive Data Exploration 2017 SIGMOD 7.5897862e-05
4,373 Data Debugging and Exploration with Vizier 2019 SIGMOD 6.738145e-05
4,420 Optimization for Active Learning-based Interactive Database Exploration 2019 VLDB 6.7132724e-05
9,977 Towards Autonomous, Hands-Free Data Exploration 2020 CIDR 5.1845938e-05
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