Feature Selection and Ensemble Meta Classifier for Multiclass Imbalance Data Learning

• 主要な著者: Sainin, Mohd Shamrie, Alfred, Rayner, Alias, Suraya, Lammasha, Mohamed A.M.
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: 2018
• 主題: HD28 Management. Industrial Management
• オンライン･アクセス: http://repo.uum.edu.my/25208/1/KMICE%202018%20134%20139.pdf; http://repo.uum.edu.my/25208/; http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html

The aim of this paper is to investigate the effects of combining feature selection 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...