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SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables

Summary: SPARTAN stores a subset of attributes and predicts the rest with CaRT models under error bounds. It leverages attribute semantics and data-mining optimization to select predictors, enabling compression and approximate queries from small samples. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3338
Venue
SIGMOD
Year
2001
Pagerank
8.34729e-05
Overall Rank
2,611 | 82.09%
DOI
10.1145/375663.375693

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Authors

BibTeX Citation

@inproceedings{babu_sigmod01,
        title = {{SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables}},
        author = {Babu, Shivnath and Garofalakis, Minos and Rastogi, Rajeev},
        series = {{SIGMOD} '01},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/375663.375693},
        url = {https://dl.acm.org/doi/10.1145/375663.375693},
        year = {2001}
}

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