Structural One-Class Support Vector Machine on Hadoop

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.

关键词： (S)OCSVM Big Data MapReduce Hadoop

作者: Yuxing Qian Aimin Feng

作者单位: Master degree candidate of Computer Science and Technology, Nanjing University of Aeronautics and As Associate professor of Computer Science and Technology, Nanjing University of Aeronautics and Astron

会议类型: 国际会议

会议名称: 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)(2015 联合国际机械,电子与信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 506-510

在线出版日期: 2015-12-18（万方平台首次上网日期，不代表论文的发表时间）