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Incrementally Maintaining Classification using an RDBMS

Summary: Incrementally maintains classification model views inside an RDBMS as training data changes, with a deterministic strategy proven optimal (within 2× of nondeterministic optimum). A hybrid memory architecture yields order-of-magnitude speedups on text datasets. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10450
Venue
VLDB
Year
2011
Pagerank
6.1183313e-05
Overall Rank
5,695 | 60.93%
DOI
10.14778/2021375.2021378

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{koc_vldb11,
        title = {{Incrementally Maintaining Classification using an RDBMS}},
        author = {Koc, M. Levent and Ré, Christopher},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {5},
        pages = {302--313},
        doi = {10.14778/2021375.2021378},
        url = {https://doi.org/10.14778/2021375.2021378},
        year = {2011}
}

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