We illustrate how to incrementally build regression models over factorized views using both an in-memory implemen- tation of F and its SQL encoding. We also ...

ABSTRACT. We demonstrate F, a system for building regression models over database views. At its core lies the observation that.

We illustrate how to incrementally build regression models over factorized views using both an in-memory implementation of F and its SQL encoding. We also ...

We illustrate how to incrementally build regression models over factorized views using both an in-memory implementation of F and its SQL encoding. We also ...

F Computes the Cofactors of Model Parameters in One Pass over the Factorized Join. Reformulate the sum-aggregates defining cofactors to save computation.

We illustrate how to incrementally build regression models over factorized views using both an in-memory implementation of F and its SQL encoding. We also ...

We investigate foundational and systems aspects of factorized data processing and machine learning.

We investigate the problem of building least squares regression models over training datasets defined by arbitrary join queries on database tables.

We investigate foundational and systems aspects of factorized data processing and machine learning.

Mar 15, 2023 · This article describes F-IVM, a unified approach for maintaining analytics over changing relational data. We exemplify its versatility in four disciplines.