- Couverture de Websites Classification
- Titre du livre:
-
Websites Classification
Using Multi-class Support Vector Machines with Web Page Layout Weighting Scheme
VDM Verlag Dr. Müller (14-09-2009 )
éligible au bon d'achat
- ISBN-13:
978-3-639-19710-5
- ISBN-10:
- 3639197100
- EAN:
- 9783639197105
- Langue du livre:
- texte du rabat:
- This book introduce a web page layout weighting scheme for HTML pre-process to deal with degree of importance of information from user’s visual perception point of view. By mapping from position, size, and depth of a web page to a degree of freedom, the layout weighting scheme generates a continuous right skew distribution to estimate the importance of a block on a web page of a website, so that we can weight importance of information components in a block for making classification more accuracy. Along with this layout weighting scheme, multi-class support vector machine classifiers are applied to implement classification architecture for websites classification. This book considers that selection of multi-class SVM and kernel functions should be different due to the different application domains, therefore this book proposed a layout weighting scheme and with different kernel functions used by multi-class support vector machine classifiers in experiments in order to find the best performance approach.
- Maison d'édition:
- VDM Verlag Dr. Müller
- Site Web:
- http://www.vdm-verlag.de
- de (auteur) :
- Kai-Liang Ko
- Numéro de pages:
- 120
- Publié le:
- 14-09-2009
- Stock:
- Disponible
- Catégorie:
- Informatique, IT
- Prix:
- 49.00 €
- Mots-clés:
- Websites Classification, Support Vector Machine, Data Mining, machine learning, Web Page Layout, Web Page Layout
