An empirical study on the joint impact of feature selection and data resampling on imbalance classification-Reference-Cited by-同舟云学术

An empirical study on the joint impact of feature selection and data resampling on imbalance classification

Published:2022-06-23 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Chongsheng,Soda Paolo,Bi Jingjun,Fan Gaojuan,Almpanidis George,García Salvador,Ding Weiping

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03772-1.pdf

Reference33 articles.

1. Alcalá-Fdez J, Fernández A, Luengo J et al (2011) KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Multiple-Valued Logic Soft Comput 17(2–3):255–287

2. Asuncion A, Newman DJ (2007) UCI machine learning repository. http://www.ics.uci.edu/mlearn/MLRepository.html

3. Barandela R, Valdovinos RM, Sánchez JS (2003) New applications of ensembles of classifiers. Pattern Anal Applic 6(3):245–256

4. Batista GE, Carvalho AC, Monard MC (2000) Applying one-sided selection to unbalanced datasets. Lect Notes Comput Sci, 315–325

5. Batista GEAPA, Prati RC, Monard MC (2004) A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor 6(1):20–29

Cited by 26 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. Applications of dynamic feature selection based on augmented white shark optimizer for medical diagnosis;Expert Systems with Applications;2024-12

2. Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction;Expert Systems with Applications;2024-11

3. A Feature Engineering‐Based NILM Framework for Appliance Recognition Considering Data Class Imbalance;IEEJ Transactions on Electrical and Electronic Engineering;2024-07-18

4. An effective two-stage training scheme for boundary decision of imbalanced samples;International Journal of Machine Learning and Cybernetics;2024-06-14

5. B-HPD: Bagging-based hybrid approach for the early diagnosis of Parkinson’s disease1;Intelligent Decision Technologies;2024-06-07