Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique

The class imbalance problem engraves the traditional learning models by degrading performance and yielding erroneous outcomes. It is the scenario where one of the class representation is over-shadowed by other classes in a data space. Presence of class imbalance can cause a grave difficulty as miscl...

詳細記述

書誌詳細

出版年:	Connection Science
主要な著者:	Debashree Devi, Saroj K. Biswas, Biswajit Purkayastha
フォーマット:	論文
言語:	英語
出版事項:	Taylor & Francis Group 2019-04-01
主題:	class imbalance class overlapping one-class svm tomek-link pairs sparse neighbourhood
オンライン･アクセス:	http://dx.doi.org/10.1080/09540091.2018.1560394