Intelligent Water Drops Algorithm for Rough Set Feature Selection

被引:0
|
作者
Alijla, Basem O. [1 ]
Peng, Lim Chee [2 ]
Khader, Ahamad Tajudin [1 ]
Al-Betar, Mohammed Azmi [1 ,3 ]
机构
[1] Univ Sains Malaysia, Sch Comp Sci, George Town, Malaysia
[2] Deakin Univ, Ctr Intelligent Syst Res, Geelong, Vic 3217, Australia
[3] Jadara Univ, Dept Comp Sci, Irbid, Jordan
关键词
Feature Selection (FS); Rough Set (RS); Intelligent Water Drops (IWD); OPTIMIZATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:356 / 365
页数:10
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