Web Mining and its types

1. Web Mining and its types
Presented by :-
Nevil Shah
015964975

2. Web Mining
● Web Mining is the use of Data Mining techniques to discover and extract useful
piece of facts and patterns from data over web services.
● Discovering useful information from World Wide Web and its usage patterns
● Proper mining of sessions in log analysis allows a web server owner to gather
interesting patterns about the users.

3. Types of Web Mining

4. Web Content Mining
● “Process of information” or knowledge discovery from contents from the millions
of sources across the web.
● It usually mines Web Data contents like audio, video, text,metadata, hyperlinks
etc.
● In other words, Web content mining is the process of collecting useful facts and
figures from the web content.

5. Web Structure Mining
● Web structure mining is a tool used for finding the association between Web Pages
that are related to the data.
● It generates structural summary about the website and Web Pages.
○ Example:- PageRank Algorithm used by Google to determine the rank of a
page.

6. Web Structure Mining
● Few more examples are :
○ Categorizing the web pages and the related information @inter-domain level
○ Discovering the nature of a hierarchy of hyperlinks in a website.

7. Web Usage Mining
● Discovering user’s ‘navigation patterns’ over the Internet which is dependent on the
web log information saved in clients, proxy server etc
○ Prediction of user behaviour while the user interacts over the Web
○ It is a mechanism to discover important usage patterns from Web content to
understand and better serve the needs of web-based applications

8. Steps of Web Usage Mining

9. ● This step comprises of 3 steps:
○ Data Preprocessing
○ Knowledge Discovery
○ Pattern Mining

10. Data Preprocessing
● The amount of data collected over the Internet is unbelievably huge, hence,
Data Preprocessing is a necessity to improve the value of information and
make the evaluation process smooth.
● As a primary step, the noisy data is eliminated and thereafter, further steps
are implemented.

11. ● Data Preprocessing mainly includes 3 processes :
○ Data Cleaning
○ User Identification
○ Session Identification

12. Pattern Discovery
● In this stage, the actions performed by the users over the internet are closely
noticed and interpreted.
● For this step, the pages over the internet that are visited frequently by the
client are noted.
● Few methods which include in this stage are :
○ Frequent Itemset Mining

13. ● Clustering
○ Page Cluster
○ User Cluster
● Association Rules

14. Pattern Analysis
● The concluding step of the Web Usage mining is pattern analysis stage.
● The aim of this process is
○ to remove the irrelative impressions
○ to find the noteworthy impressions from the result of the pattern discovery
process.
● Analysis methodologies and tools are: query mechanism like SQL, OLAP, and
Visualization etc

15. Examples of web mining
● People with salary more than 50k USD and age greater than 40 performs their
share trading online.
● Users X , Y and Z access similar set of URLs regularly.
● User A usually buys an electronic product from this website at least thrice a
month.