연구동향 분석

머신러닝을 위한 불균형 데이터 처리 방법 : 샘플링을 위주로

이규남 임종태 복경수 유재수 2019년

논문상세정보
인용/피인용
' 머신러닝을 위한 불균형 데이터 처리 방법 : 샘플링을 위주로' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Anomaly Detection
  • Imbalance Data
  • Machine Learning
  • Over-Sampling
  • Under Sampling
  • 머신 러닝
  • 불균형 데이터
  • 언더샘플링
  • 오버샘플링
  • 이상탐지
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
2,477 0

0.0%

' 머신러닝을 위한 불균형 데이터 처리 방법 : 샘플링을 위주로' 의 참고문헌

  • kNN approach to unbalanced data distributions: a case study involving information extraction
  • https://sci2s.ugr.es/keel/imbalanced.php?ord er=ir#sub10
  • Two Modifications of CNN
    I. Tomek [1976]
  • The curse of class imbalance and conflicting metrics with machine learning for side-channel evaluations
  • SMOTE: synthetic minority over-sampling technique
  • Machine learning based mobile malware detection using highly imbalanced network traffic
    Z. Chen [2018]
  • Learning from imbalanced data
    Haibo He [2009]
  • Improving identification of difficult small classes by balancing class distribution
  • Feature selection for text categorization on imbalanced data
  • Class imbalance problem in data mining review
  • Balancing Training Data for Automated Annotation of Keywords:a Case Study
  • Asymptotic properties of nearest neighbor rules using edited data
  • An optimized cost-sensitive SVM for imbalanced data learning
    Peng Cao [2013]
  • An experiment with the edited nearest-neighbor rule
    I. Tomek [1976]
  • Addressing the curse of imbalanced training sets: one-sided selection
  • ADASYN: Adaptive synthetic sampling approach for imbalanced learning
    H. He [2008]
  • A survey on methods for solving data imbalance problem for classification
    Arpit Singh [2015]
  • A survey on addressing high-class imbalance in big data
  • A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
  • A study of the behavior of several methods for balancing machine learning training data
  • A review of class imbalance problem
  • A PSO-based cost-sensitive neural network for imbalanced data classification
    Peng Cao [2013]