Based on support vector machines and new methods of clustering for web mining

Yingli Lv; Xiaofeng Zhang; Yong Gu

doi:10.1117/12.949506

2 June 2012 Based on support vector machines and new methods of clustering for web mining

Yingli Lv, Xiaofeng Zhang, Yong Gu

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.

Citation Download Citation

Yingli Lv, Xiaofeng Zhang, and 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); https://doi.org/10.1117/12.949506

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available