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F: Regression Models over Factorized Views

Summary: F builds regression models over factorized views, avoiding join/materialization redundancy. Outperforms MADlib, R, StatsModels via factorized data; supports train and SQL encoding, enabling model-space exploration with compute decoupled from convergence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11286
Venue
VLDB
Year
2016
Pagerank
6.3993326e-05
Overall Rank
4,159 | 71.07%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
834 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016135159
1,259 Aggregation and Ordering in Factorised Databases 2013 VLDB 0.00012995821
4,785 Demonstration of Santoku: Optimizing Machine Learning over Normalized Data 2015 VLDB 5.9236989e-05
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