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Learning pattern classification tasks with imbalanced data sets

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posted on 2024-11-13, 11:34 authored by Son Lam PhungSon Lam Phung, Abdesselam BouzerdoumAbdesselam Bouzerdoum, Giang Hoang Nguyen
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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Citation

Nguyen, G. Hoang., Bouzerdoum, A. & Phung, S. (2009). Learning pattern classification tasks with imbalanced data sets. In P. Yin (Eds.), Pattern recognition (pp. 193-208). Vukovar, Croatia: In-Teh.

Pagination

193-208

Language

English

RIS ID

31199

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