Matrix representation of the conditional entropy for incremental feature selection on multi-source data

• Published in: Information sciences Vol. 591; pp. 263 - 286
• Main Authors: Huang, Yanyong, Guo, Kejun, Xiuwen Yi, Li, Zhong, Li, Tianrui
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.04.2022
• Subjects: Dynamic multi-source data; Feature selection; Incremental larning; Matrix operators; Rough sets; Incremental larning; Feature selection; Dynamic multi-source data; Matrix operators; Rough sets
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2022.01.037

In many real applications, the data are always collected from different information sources and are subject to evolve over time. Such data are referred to as dynamic multi-source data. How to efficiently select the informative features from dynamic multi-source data is a challenging problem in data...