DBMUTE: density-based majority under-sampling technique

DBMUTE: density-based majority under-sampling technique

© 2016, Springer-Verlag London. Class imbalance is a challenging problem that demonstrates the unsatisfactory classification performance of a minority class. A trivial classifier is biased toward minority instances because of their tiny fraction. In this paper, our density function is defined as the...

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書目詳細資料
Main Authors:	Chumphol Bunkhumpornpat, Krung Sinapiromsaran
格式:	雜誌
出版:	2018
主題:	Computer Science
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84970990065&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57100
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