A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function

被引：67

作者：

Hwang, Jae Pil ^{[1
]}

Park, Seongkeun ^{[1
]}

Kim, Euntai ^{[1
]}

机构：

[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul 120749, South Korea

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 07期

关键词：

Imbalance dataset; Support vector machine; Lagrangian support vector machine; SVM; SMOTE;

D O I：

10.1016/j.eswa.2011.01.061

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new weighted approach on Lagrangian support vector machine for imbalanced data classification problem is proposed. The weight parameters are embedded in the Lagrangian SVM formulation. The training method for weighted Lagrangian SVM is presented and its convergence is proven. The weighted Lagrangian SVM classifier is tested and compared with some other SVMs using synthetic and real data to show its effectiveness and feasibility. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：8580 / 8585

页数：6

共 50 条

[21] Weighted support vector machine for classification
Du, SX
Chen, ST
INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, : 3866 - 3871
[22] Imbalanced data classification via support vector machines and genetic algorithms
Cervantes, Jair
Li, Xiaoou
Yu, Wen
CONNECTION SCIENCE, 2014, 26 (04) : 335 - 348
[23] Fully Bayesian Analysis of Relevance Vector Machine Classification With Probit Link Function for Imbalanced Data Problem
Wang, Wenyang
Sun, Dongchu
Shao, Peng
Kuang, Haibo
Sui, Cong
IEEE ACCESS, 2021, 9 (09): : 77451 - 77463
[24] A SMOTE-BASED QUADRATIC SURFACE SUPPORT VECTOR MACHINE FOR IMBALANCED CLASSIFICATION WITH MISLABELED INFORMATION
Zhai, Qianru
Tian, Ye
Zhou, Jingyue
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2023, 19 (02) : 1310 - 1327
[25] Imbalanced Data Classification Based on Hybrid Resampling and Twin Support Vector Machine
Cao, Lu
Shen, Hong
COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2017, 14 (03) : 579 - 595
[26] Increasing Minority Recall Support Vector Machine Model for Imbalanced Data Classification
Wu, Chunye
Wang, Nan
Wang, Yu
DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
[27] Hierarchically penalized support vector machine for the classification of imbalanced data with grouped variables
Kim, Eunkyung
Jhun, Myoungshic
Bang, Sungwan
KOREAN JOURNAL OF APPLIED STATISTICS, 2016, 29 (05) : 961 - 975
[28] Anomalous Propagation Echo Classification of Imbalanced Radar Data with Support Vector Machine
Lee, Hansoo
Kim, Eun Kyeong
Kim, Sungshin
ADVANCES IN METEOROLOGY, 2016, 2016
[29] Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification
Xu, Yitian
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (06) : 1540 - 1550
[30] A novel twin-support vector machine for binary classification to imbalanced data
Li, Jingyi
Chao, Shiwei
DATA TECHNOLOGIES AND APPLICATIONS, 2023, 57 (03) : 385 - 396

← 1 2 3 4 5 →