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Proceedings Paper

Based on support vector machines and new methods of clustering for web mining
Author(s): Yingli Lv; Xiaofeng Zhang; Yong Gu
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Paper Abstract

According to the growing Web data mining present situation, this paper proposes a based on support vector machine and clustering Web mining new methods and based on support vector machine support vector won't appear in the two types of samples is outside of the division between correct theory, through the introduction of the clustering of centroid, class radius, class from the concepts, such as the center, which could well solve quickly and accurately remove the support vector problems, ensure the algorithm generalization. The experiment showed that the improved algorithm can quickly and accurately to the training sample of exclusion and has good generalization problems to solve.

Paper Details

Date Published: 2 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341K (2 June 2012); doi: 10.1117/12.949506
Show Author Affiliations
Yingli Lv, Hebei Institute of Architecture and Civil Engineering (China)
Xiaofeng Zhang, Hebei Institute of Architecture and Civil Engineering (China)
Yong Gu, Hebei Institute of Architecture and Civil Engineering (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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