Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification

作者：

Highlights：

• A soft one-hot encoding method for categorical data is designed.

• An incremental semi-supervised model for mixed data streams is constructed.

• Experiment results on real-world data streams show the model is successful.

摘要

•A soft one-hot encoding method for categorical data is designed.•An incremental semi-supervised model for mixed data streams is constructed.•Experiment results on real-world data streams show the model is successful.

论文关键词：Data stream classification,Extreme Learning Machine,Categorical data representation,Incremental learning

论文评审过程：Received 19 January 2020, Revised 19 June 2021, Accepted 8 July 2021, Available online 14 July 2021, Version of Record 23 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115591