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

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...

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Bibliographic Details
Main Authors: Debashree Devi, Saroj K. Biswas, Biswajit Purkayastha
Format: Article
Language:English
Published: Taylor & Francis Group 2019-04-01
Series:Connection Science
Subjects:
class imbalance
class overlapping
one-class svm
tomek-link pairs
sparse neighbourhood
Online Access:http://dx.doi.org/10.1080/09540091.2018.1560394
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