Network-based instance hardness measures for classification problems DOI

Gustavo P. Torquette,

Márcio P. Basgalupp, Teresa B. Ludermir

et al.

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Journal Year: 2025, Volume and Issue: unknown, P. 1196 - 1203

Published: March 31, 2025

Language: Английский

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework DOI

Gabriel Aguiar,

Bartosz Krawczyk, Alberto Cano

et al.

Machine Learning, Journal Year: 2023, Volume and Issue: 113(7), P. 4165 - 4243

Published: June 29, 2023

Language: Английский

Citations

70
Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts DOI Creative Commons
Awais Ahmed, Rui Xi, Mengshu Hou

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 112891 - 112928

Published: Jan. 1, 2023

Big Data Analytics (BDA) has garnered significant attention in both academia and industries, particularly sectors such as healthcare, owing to the exponential growth of data advancements technology. The integration from diverse sources utilization advanced analytical techniques potential revolutionize healthcare by improving diagnostic accuracy, enabling personalized medicine, enhancing patient outcomes. In this paper, we aim provide a comprehensive literature review on application big analytics focusing its ecosystem, applications, sources. To achieve this, an extensive analysis scientific studies published between 2013 2023 was conducted overall 180 were thoroughly evaluated, establishing strong foundation for future research identifying collaboration opportunities domain. study delves into various areas BDA highlights successful implementations, explores their enhance outcomes while reducing costs. Additionally, it outlines challenges limitations associated with discusses modelling tools techniques, showcases deployed solutions, presents advantages through real-world use cases. Furthermore, identifies key open field aiming push boundaries contribute enhanced decision-making processes.

Language: Английский

Citations

43
Class overlap handling methods in imbalanced domain: A comprehensive survey DOI
Anil Kumar, Dinesh Singh, Rama Shankar Yadav

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(23), P. 63243 - 63290

Published: Jan. 11, 2024

Language: Английский

Citations

11
Two-step ensemble under-sampling algorithm for massive imbalanced data classification DOI
Lin Bai,

Tong Ju,

Hao Wang

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 665, P. 120351 - 120351

Published: Feb. 28, 2024

Language: Английский

Citations

11
A hybrid sampling method for highly imbalanced and overlapped data classification with complex distribution DOI
Yansong Liu, Li Zhu,

Lei Ding

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 661, P. 120117 - 120117

Published: Jan. 12, 2024

Language: Английский

Citations

10
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification DOI
Zhaojie Hou, Jingjing Tang, Yan Li

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 675, P. 120467 - 120467

Published: March 18, 2024

Language: Английский

Citations

9
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review DOI
Mariam Al Akasheh,

Esraa Faisal Malik,

Omar Hujran

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121794 - 121794

Published: Oct. 2, 2023

Language: Английский

Citations

17
An improved generative adversarial network to oversample imbalanced datasets DOI
Tingting Pan, Witold Pedrycz, Jie Yang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 132, P. 107934 - 107934

Published: Jan. 22, 2024

Language: Английский

Citations

8
Class-overlap detection based on heterogeneous clustering ensemble for multi-class imbalance problem DOI
Qi Dai,

Long-hui Wang,

Kai-long Xu

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124558 - 124558

Published: Dec. 1, 2024

Language: Английский

Citations

7
Novel extended NI-MWMOTE-based fault diagnosis method for data-limited and noise-imbalanced scenarios DOI
Jianan Wei, Jiaxin Wang, Haisong Huang

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121799 - 121799

Published: Sept. 29, 2023

Language: Английский

Citations

14