article · 2015

Structural One-Class Support Vector Machine on Hadoop

Cited by 0Open access

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.

Cite this paper

APA 7

Qian, Y., & Feng, A. (2015). Structural One-Class Support Vector Machine on Hadoop. https://doi.org/10.2991/jimet-15.2015.95

MLA 9

Qian, Yuxing, and Aimin Feng. “Structural One-Class Support Vector Machine on Hadoop.” 2015, https://doi.org/10.2991/jimet-15.2015.95.

Chicago

Qian, Yuxing, and Aimin Feng. 2015. “Structural One-Class Support Vector Machine on Hadoop.” https://doi.org/10.2991/jimet-15.2015.95.

Harvard

Qian, Y. and Feng, A. (2015) ‘Structural One-Class Support Vector Machine on Hadoop’. Available at: https://doi.org/10.2991/jimet-15.2015.95.

BibTeX

@article{qian2015structural,
  title = {{Structural One-Class Support Vector Machine on Hadoop}},
  author = {Qian, Yuxing and Feng, Aimin},
  year = {2015},
  doi = {10.2991/jimet-15.2015.95}
}

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