Imbalanced Supervised Classification Algorithm
(Redirected from approach to the construction of classifiers from imbalanced datasets)
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An Imbalanced Supervised Classification Algorithm is a Supervised Classification Algorithm that is designed to handle an Imbalanced Training Dataset.
- Context:
- It can be a Sampling-based Algorithm (make use of a Sampling Algorithm).
- Example(s):
- See: Balanced Supervised Classification Algorithm, Multiclass Supervised Classification Algorithm.
References
2004
- (Chawla et al., 2004) ⇒ Nitesh Chawla, Nathalie Japkowicz, Aleksander Kolcz. (2004). “Editorial: Special issue on learning from imbalanced data sets.” In: ACM SIGKDD Explorations Newsletter, 6(1). doi:10.1145/1007730.1007733
- (Wu & Chang, 2004) ⇒ Gang Wu, and Edward Y. Chang. (2004). “Aligning Boundary in Kernel Space for Learning Imbalanced Dataset.” In: Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM 2004) doi:10.1109/ICDM.2004.10106