Feature space theory — a mathematical foundation for data mining

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摘要

In data mining, an important task in classification and prediction includes feature construction, feature description, feature selection, feature relevance analysis and feature reduction. In this paper, feature space theory is introduced as a mathematical foundation for feature related concepts and techniques in data mining.

论文关键词:Knowledge representation,Data mining,Features,Feature space,Feature construction,Feature selection,Feature reduction,Relevance analysis

论文评审过程:Available online 24 July 2001.

论文官网地址:https://doi.org/10.1016/S0950-7051(01)00103-4