Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors
نویسندگان
چکیده
منابع مشابه
Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors
Feature selection is an essential process in datamining applications since it reduces amodel’s complexity. However, feature selection with various types of costs is still a new research topic. In this paper, we study the cost-sensitive feature selection problem of numeric datawithmeasurement errors.Themajor contributions of this paper are fourfold. First, a newdatamodel is built to address test...
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ژورنال
عنوان ژورنال: Journal of Applied Mathematics
سال: 2013
ISSN: 1110-757X,1687-0042
DOI: 10.1155/2013/754698