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Intelligent water drops algorithm for rough set feature selection

Authors :
Alijla, Basem O
Peng, Lim Chee
Khader, Ahamad Tajudin
Al-Betar, Mohammed Azmi
Publication Year :
2013
Publisher :
Springer, Berlin, Heidelberg, 2013.

Abstract

In this article; Intelligent Water Drops (IWD) algorithm is adapted for feature selection with Rough Set (RS). Specifically, IWD is used to search for a subset of features based on RS dependency as an evaluation function. The resulting system, called IWDRSFS (Intelligent Water Drops for Rough Set Feature Selection), is evaluated with six benchmark data sets. The performance of IWDRSFS are analysed and compared with those from other methods in the literature. The outcomes indicate that IWDRSFS is able to provide competitive and comparable results. In summary, this study shows that IWD is a useful method for undertaking feature selection problems with RS.

Details

Database :
OpenAIRE
Accession number :
edsair.od......4294..74d7a5e3cf13131345179a0a4a1cc4f7
Full Text :
https://doi.org/10.1007/978-3-642-36543-0_37