A literature review on one-class classification and its potential applications in big data

A literature review on one-class classification and its potential applications in big data

Abstract In severely imbalanced datasets, using traditional binary or multi-class classification typically leads to bias towards the class(es) with the much larger number of instances. Under such conditions, modeling and detecting instances of the minority class is very difficult. One-class classifi...

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Bibliographic Details
Main Authors: Naeem Seliya, Azadeh Abdollah Zadeh, Taghi M. Khoshgoftaar
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Journal of Big Data
Subjects:
One-class classification
Big data
Outlier detection
Novelty detection
Deep learning
Class imbalance
Online Access:https://doi.org/10.1186/s40537-021-00514-x

Internet

https://doi.org/10.1186/s40537-021-00514-x

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