Structural One-Class Support Vector Machine on Hadoop

DOI

10.2991/jimet-15.2015.95How to use a DOI?

Keywords

(S)OCSVM, Big Data, MapReduce, Hadoop

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuxing Qian
AU  - Aimin Feng
PY  - 2015/12
DA  - 2015/12
TI  - Structural One-Class Support Vector Machine on Hadoop
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 506
EP  - 510
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.95
DO  - 10.2991/jimet-15.2015.95
ID  - Qian2015/12
ER  -