Handling imbalanced dataset using SVM and k-NN approach

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Handling imbalanced dataset using SVM and k-NN approach

Data mining classification methods are affected when the data is imbalanced, that is, when one class is larger than the other class in size for the case of a two-class dependent variable. Many new methods have been developed to handle imbalanced datasets. In handling a binary classification task, Su...

書誌詳細
出版年:	AIP Conference Proceedings
第一著者:	Wah Y.B.; Rahman H.A.A.; He H.; Bulgiba A.
フォーマット:	Conference paper
言語:	English
出版事項:	American Institute of Physics Inc. 2016
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984550446&doi=10.1063%2f1.4954536&partnerID=40&md5=1831061d4fefe8f88c4cc686c646a113

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