Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving

Volume: 312, Pages: 66 - 86
Published: Apr 1, 2017
Abstract
Attribute reduction with fuzzy rough set is an effective technique for selecting most informative attributes from a given real-valued dataset. However, existing algorithms for attribute reduction with fuzzy rough set have to re-compute a reduct from dynamic data with sample arriving where one sample or multiple samples arrive successively. This is clearly uneconomical from a computational point of view. In order to efficiently find a reduct from...
Paper Details
Title
Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving
Published Date
Apr 1, 2017
Volume
312
Pages
66 - 86
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