2011 | OriginalPaper | Buchkapitel
Mining Incomplete Data—A Rough Set Approach
verfasst von : Jerzy W. Grzymała-Busse
Erschienen in: Rough Sets and Knowledge Technology
Verlag: Springer Berlin Heidelberg
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A rough set approach to mining incomplete data is presented in this paper. Our main tool is an attribute-value pair block. A characteristic set, a generalization of the elementary set well-known in rough set theory, may be computed using such blocks. For incomplete data sets three different types of global approximations: singleton, subset and concept are defined. Additionally, for incomplete data sets a local approximation is defined as well.