Online Class Imbalance Learning and its Applications in Fault Detection

@article{Wang2013OnlineCI,
  title={Online Class Imbalance Learning and its Applications in Fault Detection},
  author={Shuo Wang and Leandro L. Minku and Xin Yao},
  journal={International Journal of Computational Intelligence and Applications},
  year={2013},
  volume={12}
}
Although class imbalance learning and online learning have been extensively studied in the literature separately, online class imbalance learning that considers the challenges of both ̄elds has not drawn much attention. It deals with data streams having very skewed class distributions, such as fault diagnosis of real-time control monitoring systems and intrusion detection in computer networks. To ̄ll in this research gap and contribute to a wide range of real-world applications, this paper ̄rst… CONTINUE READING
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