(1 + Ε)-class classification: An anomaly detection method for highly imbalanced or incomplete data sets

被引：0
|
作者：
Laboratory of Methods for Big Data Analysis National Research University, Higher School of Economics, 20 Myasnitskaya ulitsa, Moscow [1 ]
101000, Russia
机构：
来源：
J. Mach. Learn. Res. | 2020年
关键词：
Anomaly detection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] An Improved Algorithm for SVMs Classification of Imbalanced Data Sets
    Castro, Cristiano Leite
    Carvalho, Mateus Araujo
    Braga, Antonio Padua
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PROCEEDINGS, 2009, 43 : 108 - 118
  • [32] Classification of imbalanced marketing data with balanced random sets
    Nikulin, Vladimir
    McLachlan, Geoffrey J.
    Journal of Machine Learning Research, 2009, 7 : 89 - 100
  • [33] Robust semi-supervised classification for imbalanced and incomplete data
    Chen, Mengxing
    Dou, Jun
    Fan, Yali
    Song, Yan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (02) : 2781 - 2797
  • [34] An Effective Ensemble Method for Multi-class Classification and Regression for Imbalanced Data
    Alam, Tahira
    Ahmed, Chowdhury Farhan
    Zahin, Sabit Anwar
    Khan, Muhammad Asif Hossain
    Islam, Maliha Tashfia
    ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS (ICDM 2018), 2018, 10933 : 59 - 74
  • [35] A quantum-based oversampling method for classification of highly imbalanced and overlapped data
    Yang, Bei
    Tian, Guilan
    Luttrell, Joseph
    Gong, Ping
    Zhang, Chaoyang
    EXPERIMENTAL BIOLOGY AND MEDICINE, 2023, 248 (24) : 2500 - 2513
  • [36] A hybrid sampling method for highly imbalanced and overlapped data classification with complex distribution
    Liu, Yansong
    Zhu, Li
    Ding, Lei
    Sui, He
    Shang, Wenli
    INFORMATION SCIENCES, 2024, 661
  • [37] Anomaly detection-based undersampling for imbalanced classification problems
    Park, You-Jin
    Brito, Paula
    Ma, Yun-Chen
    ENGINEERING OPTIMIZATION, 2024, 56 (12) : 2565 - 2578
  • [38] Anomaly Detection in Smart Grids with Imbalanced Data Methods
    Promper, Christian
    Engel, Dominik
    Green, Robert C., II
    2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017,
  • [39] Network anomaly detection with incomplete audit data
    Patcha, Animesh
    Park, Jung-Min
    COMPUTER NETWORKS, 2007, 51 (13) : 3935 - 3955
  • [40] A machine learning method for incomplete and imbalanced medical data
    Salman, Issam
    Vomlel, Jiri
    PROCEEDINGS OF THE 20TH CZECH-JAPAN SEMINAR ON DATA ANALYSIS AND DECISION MAKING UNDER UNCERTAINTY, 2017, : 188 - 195
12345