क्यूआर कोड

A Combined Priori and Purity Gaussian OverSampling Algorithm for Imbalanced Data Classification

The imbalanced data classification presents pervasive challenges in real-world data mining scenarios. To tackle these challenges, sampling techniques have emerged as effective approaches. However, the prevailing technique, SMOTE (Synthetic Minority Over-sampling Technique), and its derivatives make...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Liangliang Tao, Huping Zhu, Qingya Wang, Yage Liang, Xiaozheng Deng
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: IEEE 2023-01-01
श्रृंखला:IEEE Access
विषय:
Imbalanced learning
priori
purity
Gaussian oversampling
ऑनलाइन पहुंच:https://ieeexplore.ieee.org/document/10322726/
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