MUTE: Majority under-sampling technique

An application which operates on an imbalanced dataset loses its classification performance on a minority class, which is rare and important. There are a number of over-sampling techniques, which insert minority instances into a dataset, to adjust the class distribution. Unfortunately, these instanc...

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Bibliographic Details
Main Authors: Bunkhumpornpat,C., Sinapiromsaran,K., Lursinsap,C.
Format: Conference or Workshop Item
Published: 2015
Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84860630816&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38626
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Institution: Chiang Mai University