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                                       Details van artikel 12 van 65 gevonden artikelen
 
 
  Application of rough ensemble classifier to web services categorization and focused crawling
 
 
Titel: Application of rough ensemble classifier to web services categorization and focused crawling
Auteur: Saha, Suman
Murthy, C.A.
Pal, Sankar K.
Verschenen in: Web intelligence and agent systems
Paginering: Jaargang 8 (2010) nr. 2 pagina's 181-202
Jaar: 2010-02-24
Inhoud: This paper discusses the applications of rough ensemble classifier [27] in two emerging problems of web mining, the categorization of web services and the topic specific web crawling. Both applications, discussed here, consist of two major steps: (1) split of feature space based on internal tag structure of web services and hypertext to represent in a tensor space model, and (2) combining classifications obtained on different tensor components using rough ensemble classifier. In the first application we have discussed the classification of web services. Two step improvement on the existing classification results of web services has been shown here. In the first step we achieve better classification results over existing, by using tensor space model. In the second step further improvement of the results has been obtained by using Rough set based ensemble classifier. In the second application we have discussed the focused crawling using rough ensemble prediction. Our experiment regarding this application has provided better Harvest rate and better Target recall for focused crawling.
Uitgever: IOS Press
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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