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Semantic Compression and Pattern Extraction with Fascicles

Summary: Introduces fascicles—record subsets with k attributes whose numeric ranges or categorical cardinalities are bounded by t—as a unified basis for semantic compression and pattern mining. Algorithms address minimum-storage representation and maximal-quality extraction under support constraints despite intractability. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8750
Venue
VLDB
Year
1999
Pagerank
9.9258415e-05
Overall Rank
1,721 | 88.20%
DOI
-

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BibTeX Citation

@article{jagadish_vldb99,
        title = {{Semantic Compression and Pattern Extraction with Fascicles}},
        author = {Jagadish, H. V. and Madar, Jason and Ng, Raymond T.},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {186--197},
        year = {1999}
}

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