A design of information granule-based under-sampling method in imbalanced data classification-Reference-Cited by-同舟云学术

A design of information granule-based under-sampling method in imbalanced data classification

Published:2020-05-13 Issue:22 Volume:24 Page:17333-17347
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Liu Tianyu,Zhu Xiubin^ORCID,Pedrycz Witold,Li Zhiwu

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-05023-2.pdf

Reference76 articles.

1. Abualigah LMQ (2018) Feature selection and enhanced krill herd algorithm for text document clustering. Springer, Berlin

2. Abualigah LMQ, Hanandeh ES (2015) “Applying genetic algorithms to information retrieval using vector space model. Int J Comput Sci Eng Appl IJCSEA 5(1):19–28

3. Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773–4795

4. Abualigah LM, Khader AT, Hanandeh ES (2017) A novel hybridization strategy for krill herd algorithm applied to clustering techniques. Appl Soft Comput 60:423–435

5. Abualigah LM, Khader AT, Hanandeh ES (2018a) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466

Cited by 16 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. Application of an Oversampling Method Based on GMM and Boundary Optimization in Imbalance-Bearing Fault Diagnosis;IEEE Transactions on Industrial Informatics;2024-02

2. A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

3. Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model;IEEE Access;2024

4. A learning-based approach for aluminum tube defect detection using imbalanced dataset;Measurement;2023-08

5. A machine learning and data analytics approach for predicting evacuation and identifying contributing factors during hazardous materials incidents on railways;Safety Science;2023-08