Modified Mahalanobis Taguchi System for Imbalance Data Classification

The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated...

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Detalles Bibliográficos
Autor principal: El-Banna, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546084/
https://www.ncbi.nlm.nih.gov/pubmed/28811820
http://dx.doi.org/10.1155/2017/5874896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546084/
https://www.ncbi.nlm.nih.gov/pubmed/28811820
http://dx.doi.org/10.1155/2017/5874896

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