how to use web mining

2. contents
 The Web
 Web mining
 Data mining vs web mining
 Why mine the web
 Web mining taxonomy
 Applications of web mining
 Conclusion

3. The Web
 Web is a collection of inter-related files on one or
more Web servers.
Wealth of information : Presence everywhere.
 Structure : Graph structure with links between
pages.
 Access : Hundreds of millions of requests per day.

4.  Web Mining is the use of the data mining techniques to
automatically discover and extract information from web
documents
 Discovering useful information from the World-Wide Web
and its usage patterns

5. Data Mining vs Web Mining
 Traditional data mining
Data is structured and relational.
Well-defined tables, columns, rows, keys, and
constraints.
 Web data
Semi-structured and unstructured.
Rich in features and patterns.

6.  Enormous wealth of information on Web
 Financial information
 Book/CD/Video stores
 Restaurant information
 Car prices
 Lots of data on user access patterns
 Web logs contain sequence of URLs accessed by
users

7.  The Web is a huge collection of documents except
for
 Hyper-link information
 Access and usage information
 The Web is very dynamic
 New pages are constantly being generated

8. Web Mining
Content Mining
Text
Image
Video
Audio
Structure
Record
Structure
Mining
Hyperlink
Inter Document
Hyperlink
Intra Document
Hyperlink
Document
Structure
Usage Mining
Web Server Log
Application
Sever Log
Application
Level Log

9. Web Content Mining
 This is the process of mining useful information
from the contents of Web pages and Web
documents,
 which are mostly text, images and audio/video
files.

10. Web structure mining
 Web structure mining is the process of
discovering structure information from the
web
 This type of mining can be performed
either the documents level or at the
hyperlink level

11. web structure mining can be divided into two
kinds:
1. Hyperlink : A hyperlink is a structural unit
that connects a location in a web page to a
different location, either within the same web
page or on a different web page
2. document structure : The content within a
Web page can also be organized in a tree
structured format, based on the various
HTML and XML tags within the page

12. Web usage mining
Web Usage Mining is the application of data
mining techniques to discover interesting usage
patterns from Web data
Usage data captures the identity or origin of Web
users along with their browsing behavior at a Web
site.

13.  Web usage mining itself can be classified
further depending on the kind of usage data
considered:
Web Server Data: The user logs are
collected by the Web server. Typical data
includes IP address

14. Application Server Data: Commercial
application servers have significant features
to enable e-commerce applications to be
built on top of them with little effort.
Application Level Data: New kinds of
events can be defined in an application, and
logging can be turned on for them thus
generating histories of these specially
defined events

15. Applications of web
mining
„Information retrieval on the Web
Network Management
E-commerce

16. conclusion
As the web and its usage continues to grow.
The past five years have seen the emergence of
web mining as a rapidly growing area, due to the
efforts of the research community as well as various
organizations that are practicing it

17. Thank you