Assessing the data complexity of imbalanced datasets

Author:

Barella Victor H.,Garcia Luís P.F.,de Souto Marcilio C.P.,Lorena Ana C.,de Carvalho André C.P.L.F.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference41 articles.

1. To combat multi-class imbalanced problems by means of over-sampling techniques;Abdi;IEEE Trans. Knowl. Data Eng.,2016

2. Measurement of data complexity for classification problems with unbalanced data;Anwar;Statistical Analysis and Data Mining: The ASA Data Science Journal,2014

3. Data complexity measures for imbalanced classification tasks;Barella;International Joint Conference on Neural Networks (IJCNN),2018

4. MWMOTE–majority weighted minority oversampling technique for imbalanced data set learning;Barua;IEEE Trans. Knowl. Data Eng.,2014

5. A study of the behavior of several methods for balancing machine learning training data;Batista;ACM SIGKDD explorations newsletter,2004

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A new data complexity measure for multi-class imbalanced classification tasks;Pattern Recognition;2025-01

2. Predicting glass transition temperature of polymers by combining molecular dynamics simulations and machine learning techniques;Materials Today Communications;2024-08

3. Navigating the Data Science Frontier;Advances in Marketing, Customer Relationship Management, and E-Services;2024-07-12

4. Wind turbine fault detection and identification using a two-tier machine learning framework;Intelligent Systems with Applications;2024-06

5. Galaxy stellar and total mass estimation using machine learning;Monthly Notices of the Royal Astronomical Society;2024-02-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3