Data Mining vs Web Mining

What is the difference between data mining and web mining? Well, one of the significant factor is the structure of the mining data. Common data mining applications discover patterns in a structured data such as database (i.e. DBMS). Web mining, likewise discover patterns in a less structured data such as Internet (WWW). In other words, we can say that Web Mining is Data Mining techniques applied to the WWW.

Types of Web Mining
Basically the web mining is of three types:

1. Web structure mining

This involves the usage of graph theory for analyzing the connections and node structure of the website. According to the type and nature of the data of the web structure, it is again divided into two kinds:

Extraction of patterns from the hyperlinks on the net: The hyperlink is structural form of web address connecting a web page to some other location.
Mining of the structure of the document: The tree like structure gets used for analyzing and describing the XHTML or the HTML tags in the web page.

2.Web Usage mining process
In the web usage mining process, the techniques of data mining are applied so as to discover the trends and the patterns in the browsing nature of the visitors of the website. There is extraction of the navigation patterns as the browsing patterns could be traced and the structure of the website can be designed accordingly. For example, a particular feature of website that is used by the visitors frequently, then you must look forward to enhance and pronounce so as to increase the usage that can appeal more to users of the website. This kind of mining makes use of accesses and logs of the web. Simply by understanding the movement of the guests and the behavior of surfing the net, you can look forward to meet the preferences and the needs in a better manner and popularize your website among the masses in the internet arena.

3.Web Content Mining
Such kind of mining process attempts to discover all links of the hyperlinks in a document so as to generate the structural report on a web page. The information regarding the different facets, for instance, if the users are in a position to find the information, if the structure of the website is too shallow or deep, whether the elements of the web page are correctly placed, the least visited and the most visited website areas and whether they have something to do with page design, etc. Such kinds of things are analyzed and evaluated for deep research.

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