Learning Pattern Classification Tasks with Imbalanced Data Sets

  • Hoang G
  • Bouzerdoum A
  • Lam S
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Abstract

This chapter is concerned with the class imbalance problem, which has been recognised as a crucial problem in machine learning and data mining. The problem occurs when there are significantly fewer training instances of one class compared to another class.

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APA

Hoang, G., Bouzerdoum, A., & Lam, S. (2009). Learning Pattern Classification Tasks with Imbalanced Data Sets. In Pattern Recognition. InTech. https://doi.org/10.5772/7544

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