2 June 2012 Based on support vector machines and new methods of clustering for web mining
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83341K (2012) https://doi.org/10.1117/12.949506
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yingli Lv, Yingli Lv, Xiaofeng Zhang, Xiaofeng Zhang, Yong Gu, Yong Gu, } "Based on support vector machines and new methods of clustering for web mining", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341K (2 June 2012); doi: 10.1117/12.949506; https://doi.org/10.1117/12.949506
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