Structural One-Class Support Vector Machine on Hadoop

被引：0
|
作者：
Qian, Yuxing [1 ]
Feng, Aimin [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Comp Sci & Technol, Nanjing 210000, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015) | 2015年 / 10卷
关键词：
(S)OCSVM; Big Data; MapReduce; Hadoop;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
SOCSVM, as the derivative algorithm of OCSVM, is powerful in One-Class Classification. But in big data era, the computing and the storage requirement increase rapidly with the number of training vectors, putting many practical problems out of reach. For applying SOCSVM to large scale data mining, parallel SOCSVM is proposed by means of the idea of MapReduce and the iterative Hadoop model. The experiment results show SOCSVM on Hadoop is efficiency on practical problems.
引用
收藏
页码：506 / 510
页数：5
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