Research on the Application and Optimization of Knowledge Graph in Automatic Machine Learning

Jiali He, Yong Liu


Automatic Machine Learning (AutoML) refers to the use of machine learning techniques to automate the entire process of machine
learning, including data preprocessing, feature selection, model selection, and hyperparameter optimization. As a structured method for representing and storing knowledge, knowledge graphs have broad application prospects in automatic machine learning. By fully utilizing the
information in the knowledge graph, the intelligence and decision-making ability of automatic machine learning systems can be strengthened,
promoting the development and application of machine learning technology in various fields.


Knowledge Graph; Automatic Machine Learning; Application; Optimization

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Included Database


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