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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)

Paper ID
6220
Venue
SIGMOD
Year
2021
Pagerank
5.3413784e-05
Overall Rank
8,974 | 38.44%
DOI
10.1145/3448016.3457267

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ma_sigmod21,
        title = {{MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis}},
        author = {Ma, Pingchuan and Ding, Rui and Han, Shi and Zhang, Dongmei},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457267},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457267},
        year = {2021}
}

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