What is web data mining?
More than ever, entities and individuals use World Wide Web to carry out a number of business and personal transactions. As a result, companies are increasingly using web data mining and techniques to find ways to improve the lower lines and expand their customer base. Web data mining includes the process of collecting and summarizing data from the hyperlinking link to the web, page content, or use of use to identify formulas. Using web data mining, the company can identify a potential competitor, improve customer service or target customer needs and expectations. The government agency may also try to detect terrorist threats or other crime using an application for web mining.
Some common web data mining techniques include web content mining, web use and web structure mining. Web content mining examines the subject of the site. For example, web content miners can analyze the sound of the web,Text, pictures and video features. Web content miners usually focus on the text information of the site more than other web features. The processing of natural language and getting information is two data mining techniques that often use web content miners.
Web use is usually an automated process in which web servers collect and report user access formulas in server access protocols. For example, the company can use the data mining tool on the web to report access to server access and registration information to create a more efficient web structure. Studies of mining of web structure node and web pages connection structure. It can be useful in identifying similarities and relationships that exist between different websites. Web structure mining often involves revealing patterns from hyperlinks or pulling structures intoCounters on the website.
Two general data minite technics that can be used by miners of web data are the analysis of the Association of Association and Data Mining Association. Association of Data Mining Association helps reveal remarkable relationships buried in large data files. Data mining regression is a statistical technique in which mathematical formulas are used to predict future results such as profit margins, house values or sales data.
Data mining software sellers offer web data mining tools that can pull out predictive information from a large amount of data. Businesses often use these software mining tools to analyze specific data sets regarding consumer behavior. With the results of data analysis, companies are able to predict future trade trends.