Time Series Feature Selection Method Based on Mutual Information

Time Series Feature Selection Method Based on Mutual Information

Time series data have characteristics such as high dimensionality, excessive noise, data imbalance, etc. In the data preprocessing process, feature selection plays an important role in the quantitative analysis of multidimensional time series data. Aiming at the problem of feature selection of multi...

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Bibliographic Details
Main Authors:	Lin Huang, Xingqiang Zhou, Lianhui Shi, Li Gong
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Applied Sciences
Subjects:	time series feature extraction mutual information system operability condition identification
Online Access:	https://www.mdpi.com/2076-3417/14/5/1960

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