Abstract:
There is a rapid development in the field of information technology that led to massive amount of data. Generated every day by satellite, web server and user generated.
Data mining is sometimes called knowledge discovery in databases (KDD). It is commonly defined as the process of discovering useful patterns or knowledge from data sources in this field there is Web mining aims to discover useful information or knowledge from the Web hyperlink structure, page content, and usage data.
PageRank is a static ranking of Web pages in the sense that a PageRank value is computed for each page off-line and it does not depend on search queries. Since PageRank is based on the measure of prestige in social networks, the PageRank value of each page can be regarded as its prestige. We now derive the PageRank formula. Let us first state some main concepts again in the Web context.
We used in this research PageRank and it is a link analysis algorithm, used by the Google Internet search engine that assigns a numerical weighting to each element of a hyperlinked set of documents,. The numerical weight that it assigns to any given element E is also called the PageRank of E and denoted by PR (E).also page rank analysis by using SEO tools analysis that concern with link tools keyword optimization and html validation.
