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Building Statistical Models and Scoring with UDFs

Summary: Inside-DBMS computation of multidimensional models (correlation, regression, PCA, clustering) using SQL+UDFs with a single-table scan for building and scoring. Models rely on compact summary matrices (sums, cross-products); aggregate UDFs and scalar UDFs outperform SQL and C++ by avoiding data export. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3925
Venue
SIGMOD
Year
2007
Pagerank
4.5050696e-05
Overall Rank
8,466 | 41.11%
DOI
-

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Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,644 A Relational Matrix Algebra and its Implementation in a Column Store 2020 SIGMOD 4.9782839e-05
9,585 One-pass Data Mining Algorithms in a DBMS with UDFs 2011 SIGMOD 4.3218691e-05
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