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http://hdl.handle.net/20.500.12358/25071
TitleIntelligent water drops algorithm for rough set feature selection
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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.

Authors
Alijla, Basem O
Peng, Lim Chee
Khader, Ahamad Tajudin
Al-Betar, Mohammed Azmi
TypeJournal Article
Date2013
Subjects
feature selection (fs)
rough set (rs)
intelligent water drops (iwd)
Published inAsian Conference on Intelligent Information and Database Systems
PublisherSpringer, Berlin, Heidelberg
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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