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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
3987
Venue
SIGMOD
Year
2007
Pagerank
5.3864318e-05
Overall Rank
8,678 | 40.47%
DOI
10.1145/1247480.1247599

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ordonez_sigmod07,
        title = {{Building Statistical Models and Scoring with UDFs}},
        author = {Ordonez, Carlos},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247599},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247599},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,514 A Relational Matrix Algebra and its Implementation in a Column Store 2020 SIGMOD 5.8559163e-05
9,804 One-pass Data Mining Algorithms in a DBMS with UDFs 2011 SIGMOD 5.21582e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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