Knowledge Discovery Systems (3)

Business organizations can profit greatly from mining the Web. There are three types of uses for Web data mining:

  • Web Structure Mining
  • Web Usage Mining
  • Web Content Mining

Web Structure Mining examines how the Web documents are structured and attempts to discover the model underlying the link structures of the Web. This is useful to categorize Web pages, and to generate relationships and similarities among Web sites.

Web Usage Mining, also known as clickstream analysis, involves identification of patterns in user navigation through Web pages in a domain. Web Usage Mining tries to discover knowledge about the Web surfer's behaviors through analysis of their interactions with the Web site including the mouse clicks, user, queries, and transactions. Web Usage Mining includes three main tasks:

  • preprocessing,
  • pattern discovery and
  • pattern analysis.

Web Content Mining is used to discover what a Web page is about and how to uncover new knowledge from it.



Knowledge Discovery by Semantic Technology Text Mining and Knowledge Discovery with Knewco

 

Basic source for this text is: Becerra-Fernandez, I. and Sabherwal, R. (2010). Knowledge Management: Systems and Processes. Armonk (N.Y.); London : M.E. Sharpe.

 

 

Licensed under the Creative Commons Attribution Non-commercial No Derivatives 3.0 License

Sirje Virkus, Tallinn University, 2011