Ko, K: Websites Classification - Couverture souple

Name: Ko, K: Websites Classification
ISBN: 9783639197105

9783639197105: Ko, K: Websites Classification

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ISBN 10 : 3639197100 ISBN 13 : 9783639197105

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Langue: anglais
ISBN 10: 3639197100
ISBN 13: 9783639197105
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Websites Classification

Kai-Liang Ko

Edit� par VDM Verlag Dr. M�ller, 2009

ISBN 10 : 3639197100 ISBN 13 : 9783639197105

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Vendeur : moluna, Greven, Allemagne

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ko Kai-LiangKai-Liang Ko received the bachelor of Information Management from Shih Hsin University and the masters of Information Management from National Chung Cheng University, Taipei, Taiwan, R.O.C., in 2004 and 2006. His research. N� de r�f. du vendeur 4966214

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Websites Classification : Using Multi-class Support Vector Machines with Web Page Layout Weighting Scheme

Kai-Liang Ko

Edit� par VDM Verlag Dr. M�ller

ISBN 10 : 3639197100 ISBN 13 : 9783639197105

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783639197105

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