期刊论文详细信息
Journal of computer sciences
A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
article
Khan Md. Hasib1  Md. Sadiq Iqbal2  Faisal Muhammad Shah1  Jubayer Al Mahmud3  Mahmudul Hasan Popel1  Md. Imran Hossain Showrov4  Shakil Ahmed2  Obaidur Rahman2 
[1] Ahsanullah University of Science and Technology;Bangladesh University;University of Dhaka;Institute of Computer Science
关键词: Class Imbalance;    Ensemble;    Survey Methods;    Hybrid;   
DOI  :  10.3844/jcssp.2020.1546.1557
学科分类:计算机科学(综合)
来源: Science Publications
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【 摘 要 】

The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called minority. Over the last few years, several types of research have been carried out on the issue of class imbalance, including data sampling, cost-sensitive analysis, Genetic Programming based models, bagging, boosting, etc. Nevertheless, in this survey paper, we enlisted the 24 related studies in the years 2003, 2008, 2010, 2012 and 2014 to 2019, focusing on the architecture of single, hybrid and ensemble method design to understand the current status of improving classification output in machine learning techniques to fix problems with class imbalances. This survey paper also includes a statistical analysis of the classification algorithms under various methods and several other experimental conditions, as well as datasets used in different research papers.

【 授权许可】

CC BY   

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