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Incrementally Maintaining Classification using an RDBMS

Summary: Incrementally maintain model-based classification inside an RDBMS under training-data updates. Proposes a deterministic-optimal incremental algorithm with a memory-efficient hybrid architecture that stores only a fraction of entities, delivering an order-of-magnitude gains over non-incremental baselines on Citeseer and DBLife. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10259
Venue
VLDB
Year
2011
Pagerank
5.2930628e-05
Overall Rank
5,874 | 59.14%
DOI
-

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