F-IVM: Learning over Fast-Evolving Relational Data

06/01/2020

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by   Milos Nikolic, et al.

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F-IVM is a system for real-time analytics such as machine learning applications over training datasets defined by queries over fast-evolving relational databases. We will demonstrate F-IVM for three such applications: model selection, Chow-Liu trees, and ridge linear regression.