Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System

Abstract

Set-valued information systems are the generalized models of single-valued information systems. A feature set in such systems may vary dynamically over time when new information arrives, and the feature subset selected by feature selection algorithms need updating for knowledge discovery under a dynamic environment. Knowledge granulation as a feature… (More)

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@article{Shu2016FeatureSF, title={Feature Selection from the Perspective of Knowledge Granulation in Dynamic Set-valued Information System}, author={Wenhao Shu and Wenbin Qian and Changsheng Zhang}, journal={J. Inf. Sci. Eng.}, year={2016}, volume={32}, pages={783-798} }