Partial Web Mining Website Mining Individually
Aeesha S. Shaheen
Aeesha S. Shaheen, Lecturer Assistant Computer Sciences & Mathematics College Mosul University, IRAQ.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 28, 2013. | Manuscript published on September 05, 2013. | PP: 26-29 | Volume-3, Issue-4, September 2013. | Retrieval Number: C1729073313/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The growth of numbers of pages that loaded on the web and the difference of the structures and styles of these pages involves significant challenges. So in this paper we apply web mining to the web site pages in order to benefit from the redundant data that appears in the most pages in the website to decrease the memory size needed to save these pages in each web site alone. The web mining applied by extracting the matched data between the website pages and the home page or the index page then discharges it (the matched data), but the difference data is saved in the server’s memory until the page is accessed. After the page is requested by any user, combination applied between the index page file and the difference file for viewing the page on the browser.
Keywords: Pages, data.