The class imbalance problem in pattern classification and learning

نویسندگان

  • V. García
  • J. S. Sánchez
  • R. A. Mollineda
  • R. Alejo
  • J. M. Sotoca
چکیده

It has been observed that class imbalance (that is, significant differences in class prior probabilities) may produce an important deterioration of the performance achieved by existing learning and classification systems. This situation is often found in real-world data describing an infrequent but important case. In the present work, we perform a review of the most important research lines on this topic and point out several directions for further investigation.

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تاریخ انتشار 2009