Web Mining techniques and applications
The applications of web mining are:
- Web mining helps to improve the power of web search engine by classifying the web documents and identifying the web pages.
- It is used for Web Searching e.g., Google, Yahoo etc and Vertical Searching e.g., FatLens, Become etc.
- Web mining is used to predict user behavior.
- Web mining is very useful of a particular Website and e-service e.g., landing page optimization [2].
Web mining can be divided into three main types of techniques of mining: Web Content Mining, Web Structure Mining, and Web Usage Mining. These techniques are explained as following:
Web content mining is the process of mining, scanning and extracting text, videos, graphs, and images from web documents. It is also called text mining. Web content mining analyzes the content files of web resources. There are two types of approaches for web content mining:
a) The database approach: It helps in semi-structured retrieval of data from web documents and its main objective is to manage web data.
b) The agent-based approach: It searches for relevant information and helps in organizing the information collected and its main objective is to improve filtering and finding information to users[3].
The main goal of using web Structure Mining is to extract previously unknown relationships between web pages. Web Structure mining can be used in business to link information about its website to enable navigation and categorization of the information provided in site maps. This enables users to be able to access the required information through keyword associations and content extraction. The hyperlink hierarchy is also used to keep track of the information contained on the Sites and its relationship to competitor links through search engines and third-party co-links. This allows the related web pages to be grouped to show the relationship between these pages.
One of the benefits of mining structures in the business world is that it contributes to identifying the association between two or more business websites. It is a useful tool for mapping competitors through third-party links such as vendors and customers. This group map allows the content of business pages to be placed on search engine results by linking keywords and links shared across the relationship of web pages. This specific information will provide the right path through hierarchical mining to improve the navigation of these pages through their relationships and the link sequence of websites. With the improved navigation of web pages on business websites, it becomes more efficient to connect the required information to a search engine[4].
Web Usage Mining (WUM) extracts useful information based on users’ needs from web log information.
Following are the phases and processes of web usage mining:
The application of web usage mining are: education, health informatics, human-computer interaction and Social media.
Conclusion
As a result the main purpose of web mining is to discover useful information from the World Wide Web and its usage patterns. Web Mining Applications: It helps improve the power of a web search engine by categorizing web documents and identifying web pages, Web Searching, used to predict user behavior and very useful of a particular Website and e-service. Also, it is divided into three main categories Web content mining, Web Structure Mining, and Web Usage Mining.
References:
1- The International Journal of Engineering And Science (IJES) ||Volume 2|| ||Issue 6|| ||Pages|| ||2013|| ISSN: 2319 – 1813 ISBN: 2319 – 180.
2- Web Mining - GeeksforGeeks last updated 27 Jun, 2019.
3- International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 11 | Nov -2017.
4- Annals of the University of Petroşani, Economics, 11(4), 2011, 73-84.
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