Combining sampling and ensemble classifier for multiclass imbalance data learning

The aim of this paper is to investigate the effects of combining various sampling and ensemble classifiers on the prediction performance in addressing the multiclass imbalance data learning. This research uses data obtained from the Malaysian medicinal leaf images shape data and three other large be...

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Main Authors: Sainin, Mohd Shamrie, Alfred, Rayner, Adnan, Fairuz, Ahmad, Faudziah
格式: Book Section
出版: Springer 2018
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在線閱讀:http://repo.uum.edu.my/25566/
http://doi.org/10.1007/978-981-10-8276-4_25
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