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Dergiler / Balkan Journal of Electrical and Computer Engineering / 2026 / Cilt: 8 Sayı: 2

A Stacking-based Ensemble Learning Method for Outlier Detection

Abdul Ahad Abro(EGE ÜNİVERSİTESİ)0000-0002-3591-9231
Erdal Taşcı(EGE ÜNİVERSİTESİ)0000-0001-6754-2187
Aybars Ugur(EGE ÜNİVERSİTESİ)0000-0003-3622-7672
Sayfa
181–185
Yayın Tarihi
2020-04-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This method can be used for image recognition and machine learning problems, such as binary classification.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Outlier detection is considered as one of the crucial research areas for data mining.
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Temel Bulgular & Veri:In this paper, a stacking-based ensemble classifier has been proposed along with four base learners (namely, Rotation Forest, Random Forest, Bagging and Boosting) and a Meta-learner (namely, Logistic Regression) to progress the outlier detection performance.
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Sonuç & Katkı:This method can be used for image recognition and machine learning problems, such as binary classification.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Outlier detection · Ensemble learning · Machine Learning

Abstract

Outlier detection is considered as one of the crucial research areas for data mining. Many methods have been studied widely and utilized for achieving better results in outlier detection from existing literature; however, the effects of these few ways are inadequate. In this paper, a stacking-based ensemble classifier has been proposed along with four base learners (namely, Rotation Forest, Random Forest, Bagging and Boosting) and a Meta-learner (namely, Logistic Regression) to progress the outlier detection performance. The proposed mechanism is evaluated on five datasets from the ODDS library by adopting five performance criteria. The experimental outcomes demonstrate that the proposed method outperforms than the conventional ensemble approaches concerning the accuracy, AUC (Area Under Curve), precision, recall and F-measure values. This method can be used for image recognition and machine learning problems, such as binary classification.

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Bu Makaleye Atıf Yap

Abro, A. A., Taşcı, E., Ugur, A. (2020). A Stacking-based Ensemble Learning Method for Outlier Detection. Balkan Journal of Electrical and Computer Engineering, Cilt: 8 Sayı: 2, 181–185. https://doi.org/10.17694/bajece.679662

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Kaynakça (17)

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