A comparative study on binary Artificial Bee Colony optimization methods for feature selection

Zeynep Banu Ozger; Bulent Bolat; Banu Diri

doi:10.1109/INISTA.2016.7571836

A comparative study on binary Artificial Bee Colony optimization methods for feature selection

Zeynep Banu Ozger
, Bulent Bolat
, Banu Diri

Yildiz Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

14 Atıf (Scopus)

Özet

Feature selection is a major pre-processinş technique which aims to pick out distinctive features from whole dataset. In this way it is intended to reduce computational cost o the classification process. Artificial Bee Colony (ABC) algorithm is an evolutionary based swarm intelligence optimization method In this study, some of the variants of binary ABC algorithms are implemented to the feature selection problem using 10 UC datasets. The results show that ABC algorithm is useful for the area.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016
Editörler	Tulay Yuldirim, Mirel Cosulschi, Adina Magda Florea, Costin Badica, Petia Koprinkova-Hristova
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467399104
DOI'lar	https://doi.org/10.1109/INISTA.2016.7571836
Yayın durumu	Yayınlandı - 19 Eyl 2016
Harici olarak yayınlandı	Evet
Etkinlik	2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016 - Sinaia, Romania Süre: 2 Ağu 2016 → 5 Ağu 2016

Yayın serisi

Adı	Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016
Ülke/Bölge	Romania
Şehir	Sinaia
Periyot	2/08/16 → 5/08/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Belgeye Erişim

10.1109/INISTA.2016.7571836

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ozger, Z. B., Bolat, B., & Diri, B. (2016). A comparative study on binary Artificial Bee Colony optimization methods for feature selection. In T. Yuldirim, M. Cosulschi, A. M. Florea, C. Badica, & P. Koprinkova-Hristova (Eds.), Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016 Makale 7571836 (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INISTA.2016.7571836

Ozger, Zeynep Banu ; Bolat, Bulent ; Diri, Banu. / A comparative study on binary Artificial Bee Colony optimization methods for feature selection. Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016. editör / Tulay Yuldirim ; Mirel Cosulschi ; Adina Magda Florea ; Costin Badica ; Petia Koprinkova-Hristova. Institute of Electrical and Electronics Engineers Inc., 2016. (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016).

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title = "A comparative study on binary Artificial Bee Colony optimization methods for feature selection",

abstract = "Feature selection is a major pre-processin{\c s} technique which aims to pick out distinctive features from whole dataset. In this way it is intended to reduce computational cost o the classification process. Artificial Bee Colony (ABC) algorithm is an evolutionary based swarm intelligence optimization method In this study, some of the variants of binary ABC algorithms are implemented to the feature selection problem using 10 UC datasets. The results show that ABC algorithm is useful for the area.",

keywords = "artificial bee colony classification, feature selection",

author = "Ozger, \{Zeynep Banu\} and Bulent Bolat and Banu Diri",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016 ; Conference date: 02-08-2016 Through 05-08-2016",

year = "2016",

month = sep,

day = "19",

doi = "10.1109/INISTA.2016.7571836",

language = "English",

series = "Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Tulay Yuldirim and Mirel Cosulschi and Florea, \{Adina Magda\} and Costin Badica and Petia Koprinkova-Hristova",

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Ozger, ZB, Bolat, B & Diri, B 2016, A comparative study on binary Artificial Bee Colony optimization methods for feature selection. in T Yuldirim, M Cosulschi, AM Florea, C Badica & P Koprinkova-Hristova (eds), Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016., 7571836, Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016, Institute of Electrical and Electronics Engineers Inc., 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016, Sinaia, Romania, 2/08/16. https://doi.org/10.1109/INISTA.2016.7571836

A comparative study on binary Artificial Bee Colony optimization methods for feature selection. / Ozger, Zeynep Banu; Bolat, Bulent; Diri, Banu.
Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016. ed. / Tulay Yuldirim; Mirel Cosulschi; Adina Magda Florea; Costin Badica; Petia Koprinkova-Hristova. Institute of Electrical and Electronics Engineers Inc., 2016. 7571836 (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A comparative study on binary Artificial Bee Colony optimization methods for feature selection

AU - Ozger, Zeynep Banu

AU - Bolat, Bulent

AU - Diri, Banu

PY - 2016/9/19

Y1 - 2016/9/19

N2 - Feature selection is a major pre-processinş technique which aims to pick out distinctive features from whole dataset. In this way it is intended to reduce computational cost o the classification process. Artificial Bee Colony (ABC) algorithm is an evolutionary based swarm intelligence optimization method In this study, some of the variants of binary ABC algorithms are implemented to the feature selection problem using 10 UC datasets. The results show that ABC algorithm is useful for the area.

AB - Feature selection is a major pre-processinş technique which aims to pick out distinctive features from whole dataset. In this way it is intended to reduce computational cost o the classification process. Artificial Bee Colony (ABC) algorithm is an evolutionary based swarm intelligence optimization method In this study, some of the variants of binary ABC algorithms are implemented to the feature selection problem using 10 UC datasets. The results show that ABC algorithm is useful for the area.

KW - artificial bee colony classification

KW - feature selection

UR - https://www.scopus.com/pages/publications/84992143300

U2 - 10.1109/INISTA.2016.7571836

DO - 10.1109/INISTA.2016.7571836

M3 - Conference contribution

AN - SCOPUS:84992143300

T3 - Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

BT - Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

A2 - Yuldirim, Tulay

A2 - Cosulschi, Mirel

A2 - Florea, Adina Magda

A2 - Badica, Costin

A2 - Koprinkova-Hristova, Petia

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016

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Ozger ZB, Bolat B, Diri B. A comparative study on binary Artificial Bee Colony optimization methods for feature selection. In Yuldirim T, Cosulschi M, Florea AM, Badica C, Koprinkova-Hristova P, editörler, Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7571836. (Proceedings of the 2016 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2016). doi: 10.1109/INISTA.2016.7571836

A comparative study on binary Artificial Bee Colony optimization methods for feature selection

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