Data Warehouse & Data Mining

1. By.,
k.Rajalakshmi
MSC-IT
WEB MINING APPLICATION
&TRENDS IN DATA MINING:

2.  Introduction
 Web mining
 Application of web mining
 Trends in data mining

3.  A data warehouse is a process for collecting and managing
data from varied sources to provide meaningful business
insight
 A data warehouse is typically used to connect and analyse
business data and heterogeneous source
 DATA MINING: it is a process of extracting and discovering
patterns in large data sets involving methods at the
intersection of machine learning, static and database system.
INTRODUCTION:

4.  Web mining is the process of data mining technique to
automatically discover and extract information from web
document and service
 The main purpose of web mining is discovering useful
information from the world-wide-web and its usage patterns
WEB MINING:

5.  The basic applications of web mining are:
 Web mining helps to improve the power of web search engine
by classifying the web document and identifying the web page
 It is used for web searching EG: Google , yahoo etc…
 Web mining is used to predict user behaviour
 Web mining is very useful of a particular website and e
serving EG: landing page optimization
APPLICATION OF WEB MINING:

6.  Web mining can be divided into three main types they are:
 Web content mining
 Web structure mining
 Web usage mining
TYPES OF WEB MINING:

7.  The main trends of data mining are :
 Application exploration
 Scalable and interactive data mining methods
 Integration of data mining with data base system , data
warehouse system and web database system
 Visual data mining
 New methods for mining complex types of data
 Biological data mining
 Web mining
 Real time data mining
 Multi database data mining
 Privacy protection and information security in data mining.
TRENDS IN DATA MINING:

8. Thank you….