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Book Chapter

Data Level Preprocessing Methods

  • Fernández A
  • García S
  • Galar M
  • et al.
Springer International Publishing, (2018), 79-121
DOI: 10.1007/978-3-319-98074-4_5
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Abstract

The first mechanism to address the problem of imbalanced learning was the use of sampling methods. They consists of modifying a set of imbalanced data using different procedures to provide a balanced or more adequate data distribution to the subsequent learning...

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Fernández, A., García, S., Galar, M., Prati, R. C., Krawczyk, B., & Herrera, F. (2018). Data Level Preprocessing Methods. In Learning from Imbalanced Data Sets (pp. 79–121). Springer International Publishing. https://doi.org/10.1007/978-3-319-98074-4_5

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