Intelligent water drops algorithm for rough set feature selection

Alijla, Basem O., Peng, Lim Chee, Khader, Ahamad Tajudin and Al-Betar, Mohammed Azmi 2013, Intelligent water drops algorithm for rough set feature selection, in Intelligent information and database systems : 5th Asian conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18-20, 2013. Proceedings, Part 2, Springer, Berlin, Germany, pp.356-365.

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Title Intelligent water drops algorithm for rough set feature selection
Author(s) Alijla, Basem O.
Peng, Lim Chee
Khader, Ahamad Tajudin
Al-Betar, Mohammed Azmi
Title of book Intelligent information and database systems : 5th Asian conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18-20, 2013. Proceedings, Part 2
Editor(s) Selamat, Ali
Nguyen, Ngoc Thanh
Haron, Habibollah
Publication date 2013
Series Lecture notes in artificial intelligence 7803 : subseries of lecture notes in computer science
Chapter number 37
Total chapters 56
Start page 356
End page 365
Total pages 10
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) feature selection
intelligent water drops
rough set
Summary 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.
ISBN 9783642365423
9783642365430
ISSN 0302-9743
1611-3349
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category B1 Book chapter
Copyright notice ©2013, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057234

Document type: Book Chapter
Collection: Centre for Intelligent Systems Research
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