Feature Selection and Ensemble Meta Classifier for Multiclass Imbalance Data Learning
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...
محفوظ في:
المؤلفون الرئيسيون: | Sainin, Mohd Shamrie, Alfred, Rayner, Alias, Suraya, Lammasha, Mohamed A.M. |
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التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | 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 |
الوسوم: |
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مواد مشابهة
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Ensemble meta classifier with sampling and feature selection for data with multiclass imbalance problem
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