Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems

doi:10.1145/3579050

	Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems
	Ren, Jinjun1,2 ; Wang, Yuping 1; Deng, Xiyan 1
	2023-07
发表期刊	ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
卷号	17 期号:6
摘要	Class imbalance and noisy data widely exist in real-world problems, and the support vector machine (SVM) is hard to construct good classifiers on these data. Fuzzy SVMs (FSVMs), as variants of SVM, use a fuzzy membership function both to reflect the samples' importance and to remove the impact of noises, and employ cost-sensitive technology to address the class imbalance. They can handle the noise and class imbalance problems in many cases; however, the fuzzy membership functions are often affected by the class imbalance data, leading to inaccurate measures for samples' performance and affecting the performance of FSVMs. To solve this problem, we design a new fuzzy membership function and combine it with cost-sensitive learning to deal with the class imbalance problem with noisy data, named Slack-Factor-based FSVM (SFFSVM). In SFFSVM, the relative distances between samples and an estimated hyperplane, called slack factors, are used to define the fuzzy membership function. To eliminate the impact of class imbalance on the function and gain more accurate samples' importance, we rectify the importance according to the positional relationship between the estimated hyperplane and the optimal hyperplane of the problem, and the slack factors of samples. Comprehensive experiments on artificial and real-world datasets demonstrate that SFFSVM outperforms other comparative methods on F1, MCC, and AUC-PR metrics.
关键词	Cost-sensitive learning class imbalance fuzzy support vector machine decision hyperplane fuzzy membership function
DOI	10.1145/3579050
收录类别	SCIE ; EI
ISSN	1556-4681
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000970563700013
出版者	ASSOC COMPUTING MACHINERY
EI入藏号	20231814046275
EI主题词	Support vector machines
原始文献类型	Article
EISSN	1556-472X
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/33644
专题	信息工程与人工智能学院
作者单位	1.Xidian Univ, Sch Comp Sci & Technol, 2 Taibai South Rd, Xian 710071, Shaanxi, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Infomat Engn, 496 Duan Jia Tan Rd, Lanzhou 730101, Gansu, Peoples R China
第一作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Ren, Jinjun,Wang, Yuping,Deng, Xiyan. Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems[J]. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,2023,17(6).
APA	Ren, Jinjun,Wang, Yuping,&Deng, Xiyan.(2023).Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems.ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,17(6).
MLA	Ren, Jinjun,et al."Slack-Factor-Based Fuzzy Support Vector Machine for Class Imbalance Problems".ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 17.6(2023).