Combining sampling and ensemble classifier for multiclass imbalance data learning

• المؤلفون الرئيسيون: Sainin, Mohd Shamrie, Alfred, Rayner, Adnan, Fairuz, Ahmad, Faudziah
• التنسيق: Book Section
• منشور في: Springer 2018
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://repo.uum.edu.my/25566/; http://doi.org/10.1007/978-981-10-8276-4_25

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...