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F-IVM: Learning over Fast-Evolving Relational Data
Published 1 Jun 2020 in cs.DB | (2006.00694v1)
Abstract: 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.
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