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.
Previous wrappers of information extraction are mostly set for the web page which has one information block, so they are unable to deal with the multiple information blocks web page. Because of the adapt ability of the above mentioned shortcomings, this paper proposes a multiple wrappers information extraction method based on tree model. It will generate a wrapper for every block using the Tree-Align...
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.