Ensemble Meta Classifier with Sampling and Feature Selection for Data with Multiclass Imbalance Problem

• 主要な著者: Sainin, Mohd Shamrie, Alfred, Rayner, Ahmad, Faudziah
• フォーマット: 論文
• 言語: English
• 出版事項: Universiti Utara Malaysia 2021
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://repo.uum.edu.my/28293/1/JICT%2020%202%202021%20103-133.pdf; http://repo.uum.edu.my/28293/; http://www.jict.uum.edu.my/index.php/currentissue

Ensemble learning by combining several single classifiers or another ensemble classifier is one of the procedures to solve the imbalance problem in multiclass data. However, this approach still faces the question of how the ensemble methods obtain their higher performance. In this paper, an investig...