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Learning Generalized Linear Models Over Normalized Data

Summary: Factorized learning for gradient-descent GLMs over normalized data; pushes computations through joins to avoid I/O redundancy. Empirical results show factorized learning faster than join-then-learn, with a cost-based strategy; extends to multi-table joins and Hive. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4933
Venue
SIGMOD
Year
2015
Pagerank
0.00013547713
Overall Rank
1,167 | 91.89%
DOI
10.1145/2723372.2723713

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