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

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2013), PT II | 2013年 / 7803卷

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

页码：356 / 365

页数：10

共 50 条

[31] Feature selection using rough set in intrusion detection
Zainal, Anazida
Maarof, Mohd Aizaini
Shamsuddin, Siti Mariyam
[J]. TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4, 2006, : 2026 - +
[32] Mammography feature selection using rough set theory
Pethalakshmi, A.
Thangave, K.
Jaganathan, P.
[J]. 2006 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, VOLS 1 AND 2, 2007, : 237 - +
[33] Feature selection based on rough set and information entropy
Han, JC
[J]. 2005 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2005, : 153 - 158
[34] Rough set-based feature selection method
Zhan, YM
Zeng, XY
Sun, JC
[J]. PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2005, 15 (03) : 280 - 284
[35] A Rough Set Based Hybrid Method to Feature Selection
Ming, He
[J]. KAM: 2008 INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING, PROCEEDINGS, 2008, : 585 - 588
[36] Intelligent Water Drops Algorithm for Multimodal Spaces
Harish, Y.
Venkateshwarlu, B.
Jada, Chakravarthi
Rachavarapu, Kranthi Kumar
Mohammed, Irfan Feroz Gramoni
[J]. SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, SEMCCO 2014, 2015, 8947 : 14 - 26
[37] Rough set-based feature selection method
ZHAN Yanmei
[J]. Progress in Natural Science:Materials International, 2005, (03) : 88 - 92
[38] Distance measure assisted rough set feature selection
Mac Parthalain, Neil
Shen, Qiang
Jensen, Richard
[J]. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 1089 - 1094
[39] Supervised spectral feature selection with neighborhood rough set
Liu, Qiong
Cai, Mingjie
Li, Qingguo
[J]. APPLIED SOFT COMPUTING, 2024, 165
[40] A rough set approach to feature selection based on power set tree
Chen, Yumin
Miao, Duoqian
Wang, Ruizhi
Wu, Keshou
[J]. KNOWLEDGE-BASED SYSTEMS, 2011, 24 (02) : 275 - 281

← 1 2 3 4 5 →