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Journals / Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi / 2015 / Cilt: 30 - Sayı: 1

Nitelik Seçimi için Yapay Arı Kolonisi Tabanlı Bir Algoritma

An Artificial Bee Colony Based Algorithm for Feature Selection

EZGİ ZORARPACI
SELMA AYŞE ÖZEL
Süleyman GÜNGÖR
Pages
25–31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The experimental results of this study showed that the proposed ABC based algorithm is able to select good features for classification tasks.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of the feature selection is to reduce the number of features to be used during the classification process to improve run-time performance and efficiency of the classifier.
📊
Key Findings & Data:In this study, Artificial Bee Colony (ABC) Optimization Technique, which is a recent successful swarm intelligence algorithm, based feature selection method is proposed for classification tasks.
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Conclusion & Impact:The experimental results of this study showed that the proposed ABC based algorithm is able to select good features for classification tasks.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The aim of the feature selection is to reduce the number of features to be used during the classification process to improve run-time performance and efficiency of the classifier. In this study, Artificial Bee Colony (ABC) Optimization Technique, which is a recent successful swarm intelligence algorithm, based feature selection method is proposed for classification tasks. The algorithm was experimented on fifteen datasets from the UCI Repository which are commonly used in classification problems. The experimental results of this study showed that the proposed ABC based algorithm is able to select good features for classification tasks.

Özet

Nitelik seçiminin amacı çalışma zamanını ve sınıflandırıcının verimliliğini iyileştirmek için sınıflandırma işlemi sırasında kullanılacak olan özellik sayısını azaltmaktır. Bu çalışmada, sınıflandırma işlemleri için yakın zamanda geliştirilmiş başarılı bir sürü zekası algoritması olan Yapay Arı Kolonisi (YAK) Optimizasyon Tekniğine dayalı bir nitelik seçim yöntemi geliştirilmiştir. Geliştirilen yöntem UCI veritabanından elde edilen ve sınıflandırma problemlerinde sıklıkla kullanılan 15 veri kümesi üzerinde sınanmıştır. Deney sonuçları önerilen YAK tabanlı algoritmanın sınıflandıma çalışmaları için iyi nitelikleri seçebildiğini göstermiştir.

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Cite This Article

ZORARPACI, E., ÖZEL, S. A., GÜNGÖR, S. (2015). Nitelik Seçimi için Yapay Arı Kolonisi Tabanlı Bir Algoritma. Çukurova Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi, Cilt: 30 - Sayı: 1, 25–31. https://ajindex.com/articles/350612

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