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 )

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ISBN-13:

978-3-639-19710-5

ISBN-10:
3639197100
EAN:
9783639197105
Langue du livre:
Anglais
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

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