Incremental learning of production rules from examples under uncertainty: a rough set approach... Consequently, the mles learned by LEM3 do not use redundant attribute-value pairs....
2algorithms for efficient mining of statistically significant attribute association information... In this paper, we explore efficient data mining methods to discover non-redundant attribute sets that contain significant association information indicating the presence of informative patterns in the data
A novel risk recognition method in web services... Attribute value reduction was realized through gradually deleting the redundant attribute value for every rule in the information table by the correlation of condition attributes and decision attributes....
Study on attribute reduction method of network intrusion detection system based on granular computingAbstract—Based on granular computing theory, according to the problem of intrusion detection classification performance reduced by redundant attribute in high dimensional network data, an attribute reduction method of network intrusion detection system based on granular computing is given, the redundant attribute...
