Web Mining is the process of information discovery and knowledge from the Web data. The data is collected from the server, client, proxy server or database in Web mining. The main goal of web mining is to find the designs in web data by collecting and analyzing data to get important insights.
Web Structure Mining is the technique of discovering structure information from the web. Web Structure Mining is one of the core techniques of web mining that deals with hyperlinks structure. It uses graph theory to analyze the nodes and connections in the structure of a website.
The objective of Web Structure Mining is to generate structural summary about web pages and web sites. It shows the relationship between the user and the web. This structure of data mining offers the use for a business to connect the data of its website to allow navigation and cluster data into site maps.
One of the techniques is the Page rank Algorithm that the Google uses to rank its web pages. The rank of a page is dependent on the number of pages and the quality of links pointing to the target node. Google applied the extract analysis in Web search by treating the incoming links as credentials to the Web pages. Page rank algorithm is the most frequently used algorithm for ranking the various pages.
Web Structure Mining
Enron: Rise, Scandal, and the Legacy of Corporate Greed
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Enron Corporation, once a giant in the energy industry, rose to prominence
through innovative strategies and rapid expansion, only to collapse under
the we...