The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nowadays, while we are enjoying the convenience brought by such a huge repository of online web information, we may come across difficulties in finding the web pages we want related to particular information we are searching for. Hence, it is essential to classify web documents to facilitate the search and retrieval of pages. Existing algorithms work well with a small quantity of web pages, whereas,...
A detailed design and implementation of a Chinese Web-page classification system is described in this paper, and some methods on Chinese Web-page preprocessing and feature preparation are proposed. Experimental results on a Chinese Web-page dataset show that methods we designed can improve the performance from 75.82% to 81.88%.
Chinese Web page classification (WPC) has been considered as a hot research area in data mining. In order to effectively classify Web pages, we present a Web page categorization based on a least square support vector machine (LS-SVM) with latent semantic analysis (LSA). LSA uses singular value decomposition (SVD) to obtain latent semantic structure of original term-document matrix solving the polysemous...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.