A New Combination Sampling Method for Imbalanced Data
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-38466-0_61
Reference13 articles.
1. Haibo H, Edwardo GA (2009) Learning from imbalanced data. IEEE Trans Knowl Data Eng 21(9):1263–1284
2. Tomek I (1976) Two modifications of CNN. IEEE Trans Syst Man Cybern 6(11):769–772
3. Chawlan V, Bowyer KW, Hall LO, Kegelmeyer WP (2002) SMOTE: synthetic minority over-sampling technique. J Artif Intell Res 16(1):321–357
4. Gustavo EA, Batista PA, Ronaldo C (2004) A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor 6(1):20–29
5. Taeho J, Nathalie J (2004) Class imbalances versus small disjuncts. SIGKDD Explor 6(1):40–49
Cited by 13 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. Novel embedding model predicting the credit card's default using neural network optimized by harmony search algorithm and vortex search algorithm;Heliyon;2024-05
2. Intrusion Detection System for Industrial Control Systems Based on Imbalanced Data;2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS);2023-03-15
3. NKB-S: Network Intrusion Detection Based on SMOTE Sample Generation;Communications in Computer and Information Science;2023
4. A Hybrid Multiple Models Transfer Approach for Cross-Project Software Defect Prediction;International Journal of Software Engineering and Knowledge Engineering;2022-12-19
5. Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS);International Journal of Information Technology;2022-06-21
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