山东农业大学学报（自然科学版）Issue(z1)：137-141,5.DOI:10.3969/j.issn.1000-2324.2014.z.031
适用于不平衡数据集的局部支持向量机
A New Local Support Vector Machine for Unbalanced Data Treatment
摘要
Abstract
Unbalanced data sets are widely exists in areas such as intrusion detection, medical diagnosis. The research about unbalanced data sets classification is of great practical value.To solve the problem of positive class in Unbalanced data sets having big cassification error, this paper combine clustering algorithm with local support vector machine and proposes a new solution to the classification problem of unbalanced data sets . In order to verify the validity of the method, this paper did tests on UCI datasets. The experimental results show that the algorithm of this paper can improve the classification accuracy of unbalanced data sets.关键词
不平衡数据集/聚类/局部支持向量机Key words
Unbalanced data sets/clustering algorithm/local support vector machine分类
信息技术与安全科学引用本文复制引用
王秀美,牟少敏,浩庆波..适用于不平衡数据集的局部支持向量机[J].山东农业大学学报（自然科学版）,2014,(z1):137-141,5.基金项目
山东省自然科学基金(ZR2012FM024) （ZR2012FM024）
2013年山东省农业重大应用技术创新课题 （）
