F-IVM: learning over fast-evolving relational data
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020•dl.acm.org
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.
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.
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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