Intelligent water drops algorithm for rough set feature selection

Basem O. Alijla; Lim Chee Peng; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar

doi:10.1007/978-3-642-36543-0_37

Intelligent water drops algorithm for rough set feature selection

Basem O. Alijla
, Lim Chee Peng
, Ahamad Tajudin Khader
, Mohammed Azmi Al-Betar

Universiti Sains Malaysia
Deakin University
Jadara University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

25 Scopus citations

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.

Original language	English
Title of host publication	Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings
Pages	356-365
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-36543-0_37
State	Published - 2013
Externally published	Yes
Event	5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013 - Kuala Lumpur, Malaysia Duration: 18 Mar 2013 → 20 Mar 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7803 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013
Country/Territory	Malaysia
City	Kuala Lumpur
Period	18/03/13 → 20/03/13

Keywords

Feature Selection (FS)
Intelligent Water Drops (IWD)
Rough Set (RS)

Access to Document

10.1007/978-3-642-36543-0_37

Cite this

Alijla, B. O., Peng, L. C., Khader, A. T., & Al-Betar, M. A. (2013). Intelligent water drops algorithm for rough set feature selection. In Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings (PART 2 ed., pp. 356-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7803 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-36543-0_37

Alijla, Basem O. ; Peng, Lim Chee ; Khader, Ahamad Tajudin et al. / Intelligent water drops algorithm for rough set feature selection. Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2. ed. 2013. pp. 356-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{564ec6b838954d2f952ed0616ac6952e,

title = "Intelligent water drops algorithm for rough set feature selection",

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.",

keywords = "Feature Selection (FS), Intelligent Water Drops (IWD), Rough Set (RS)",

author = "Alijla, \{Basem O.\} and Peng, \{Lim Chee\} and Khader, \{Ahamad Tajudin\} and Al-Betar, \{Mohammed Azmi\}",

year = "2013",

doi = "10.1007/978-3-642-36543-0\_37",

language = "English",

isbn = "9783642365423",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "356--365",

booktitle = "Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings",

edition = "PART 2",

note = "5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013 ; Conference date: 18-03-2013 Through 20-03-2013",

}

Alijla, BO, Peng, LC, Khader, AT & Al-Betar, MA 2013, Intelligent water drops algorithm for rough set feature selection. in Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7803 LNAI, pp. 356-365, 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013, Kuala Lumpur, Malaysia, 18/03/13. https://doi.org/10.1007/978-3-642-36543-0_37

Intelligent water drops algorithm for rough set feature selection. / Alijla, Basem O.; Peng, Lim Chee; Khader, Ahamad Tajudin et al.
Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2. ed. 2013. p. 356-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7803 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent water drops algorithm for rough set feature selection

AU - Alijla, Basem O.

AU - Peng, Lim Chee

AU - Khader, Ahamad Tajudin

AU - Al-Betar, Mohammed Azmi

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Feature Selection (FS)

KW - Intelligent Water Drops (IWD)

KW - Rough Set (RS)

UR - https://www.scopus.com/pages/publications/84874629313

U2 - 10.1007/978-3-642-36543-0_37

DO - 10.1007/978-3-642-36543-0_37

M3 - Conference contribution

AN - SCOPUS:84874629313

SN - 9783642365423

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 356

EP - 365

BT - Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings

T2 - 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013

Y2 - 18 March 2013 through 20 March 2013

ER -

Alijla BO, Peng LC, Khader AT, Al-Betar MA. Intelligent water drops algorithm for rough set feature selection. In Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2 ed. 2013. p. 356-365. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-36543-0_37

Intelligent water drops algorithm for rough set feature selection

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this