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Dergiler / Mugla Journal of Science and Technology / 2023 / Cilt: 9 Sayı: 1

THE ADJUSTED HISTOGRAM-BASED OUTLIER SCORE - AHBOS

Uğur BİNZAT
Engin YILDIZTEPE
Sayfa
92–100
Yayın Tarihi
2023-06-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Results from a simulation study and real data application indicate that the adjusted histogram-based outlier score yields a better performance not only in the simulated data but also for various types of real data.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Histogram is a commonly used tool for visualizing data distribution.
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Temel Bulgular & Veri:The histogram-based outlier score is a fast unsupervised anomaly detection method that has become more popular because of the rapid increase in the amount of data collected in recent decades.
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Sonuç & Katkı:Results from a simulation study and real data application indicate that the adjusted histogram-based outlier score yields a better performance not only in the simulated data but also for various types of real data.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:unsupervised anomaly detection · outlier · histogram

Abstract

Histogram is a commonly used tool for visualizing data distribution. It has also been used in semi-supervised and unsupervised anomaly detection tasks. The histogram-based outlier score is a fast unsupervised anomaly detection method that has become more popular because of the rapid increase in the amount of data collected in recent decades. Histogram-based outlier score can be computed using either static or dynamic bin-width histograms. When a histogram contains large gaps, the dynamic bin-width approach is preferred over the static bin-width approach. These gaps in a histogram usually occur as a result of various distributions in real data. When working with a static bin-width histogram, gaps can be utilized to acquire better distinction between outliers and inliers. In this study, we propose an adjusted version of the histogram-based outlier score named adjusted histogram-based outlier score, which considers neighboring bins prior to density estimation. Results from a simulation study and real data application indicate that the adjusted histogram-based outlier score yields a better performance not only in the simulated data but also for various types of real data.

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Bu Makaleye Atıf Yap

BİNZAT, U., YILDIZTEPE, E. (2023). THE ADJUSTED HISTOGRAM-BASED OUTLIER SCORE - AHBOS. Mugla Journal of Science and Technology, Cilt: 9 Sayı: 1, 92–100. https://ajindex.com/articles/950322

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