F-IVM: Learning over Fast-Evolving Relational Data

Milos Nikolic,Haozhe Zhang,Ahmet Kara,Dan Olteanu

SIGMOD/PODS '20: International Conference on Management of Data Portland OR USA June, 2020（2020）

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摘要

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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关键词

incremental maintenance, feature selection, regression

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