This document discusses web mining and its various types and applications. It defines web mining as the extraction of useful information from web documents and services. There are three main types of web mining: web content mining analyzes the content of web pages, web structure mining examines the link structure between pages, and web usage mining studies user access patterns by analyzing server logs. The challenges and pros of web mining are also covered, along with its applications in areas like e-commerce, business intelligence, and knowledge management.

1. Web Mining
By : Renu Soni

2. Content
● Introduction to Web Mining
● Web Mining vs. Data Mining
● Types of Web Mining
● Web Usage Mining Model
● Challenges in Web Mining
● Pros of Web Mining
● Application of Web Mining

3. Introduction to Web Mining
● Extraction information from Web Documents & Services.
● Discover useful info from www.
● Useful to e-commerce site and e-services.

4. Web Mining vs. Data Mining
Traditional Data Mining Web Data
● Data is structural & relational.
● Well-Defined tables,rows &
constraints.
● Semi structured and unstructured.
● Readily available data.
● Rich in features & patterns.

5. Types of Web Mining
1. Web Content Mining
● Mining of data,information & knowledge from web data.
● Works according to content of input.
● For Example:-If an user wants to search for a particular book, then search engine provides the list
of suggestions.

6. 2. Web Structure Mining
● Discover the link structure of hyperlink.
● Identify links of web pages.
● Produce the structural summary of website and similar web pages.
● Example:
○ It can be useful to companies to determine the
connection between two commercial websites.

7. 3. Web Usage Mining
● Mining the Web-Log records.
● Find user access patterns of web pages.
● Server registers a web log entry for web pages.
● Techniques to discover web usage pattern are:
○ Session and visitor analysis
○ OLAP (Online Analytical Processing)

8. ● Web Usage Mining Model

9. ● Usage Mining Techniques
○ Data Preparation
■ Data Collection
■ Data Selection
■ Data cleaning
○ Data Mining
■ Navigation Patterns
■ Sequential Patterns

10. Challenges in Web Mining

11. Pros of Web Mining
● Enable Ecommerce to do personalized marketing,which eventually result in
higher trade volumes.
● The government agencies are using this technology to classify threats and
fight against terrorism.
● The predictive capability of the mining application can benefits the society
by identifying criminal activities.

12. Application of Web Mining
02 Business Intelligence
03 Knowledge Management
04 Web Services
05 System Performance
01
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E-Commerce

13. Thank You.