Imbalanced classification: A paradigm‐based review-Reference-Cited by-同舟云学术

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Imbalanced classification: A paradigm‐based review

Published:2021-08-02 Issue:5 Volume:14 Page:383-406
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Feng Yang¹,Zhou Min²,Tong Xin³^ORCID

Affiliation:

1. Department of Biostatistics School of Global Public Health, New York University New York New York USA

2. Division of Science and Technology Beijing Normal University‐Hong Kong Baptist University United International College Zhuhai China

3. Department of Data Sciences and Operations Marshall School of Business, University of Southern California Los Angeles California USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11538

Reference73 articles.

1. A Comparison of Resampling Techniques for Medical Data Using Machine Learning

2. An introduction to kernel and nearest‐neighbor nonparametric regression;Altman N. S.;Am. Stat.,1992

3. Analysis of Resampling Techniques on Predictive Performance of Credit Card Classification

4. Efficient surface finish defect detection using reduced rank spline smoothers and probabilistic classifiers;Arnqvist N. P.;Econom. Stat.,2021

5. FORGE Canada Consortium: Outcomes of a 2-Year National Rare-Disease Gene-Discovery Project

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