Multi-feature generation network-based imputation method for industrial data with high missing rate

Zheng Lv; Kai Chen; Tai Zhang; Jun Zhao; Wei Wang

doi:10.1016/j.eswa.2023.120229

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Multi-feature generation network-based imputation method for industrial data with high missing rate

Zheng Lv Kai Chen Tai Zhang Jun Zhao Wei Wang

Year: 2023 Journal: Expert Systems with Applications Vol: 227 Pages: 120229-120229 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.120229

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Keywords:

Imputation (statistics) Missing data Computer science Data mining Autoencoder Gaussian Artificial intelligence Pattern recognition (psychology) Artificial neural network Machine learning

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Multi-feature generation network-based imputation method for industrial data with high missing rate

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