By.,
k.Rajalakshmi
MSC-IT
WEB MINING APPLICATION
&TRENDS IN DATA MINING:
 Introduction
 Web mining
 Application of web mining
 Trends in data mining
 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:
 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:
 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:
 Web mining can be divided into three main types they are:
 Web content mining
 Web structure mining
 Web usage mining
TYPES OF WEB MINING:
 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:
Thank you….

Web mining application &trends in data mining

  • 1.
  • 2.
     Introduction  Webmining  Application of web mining  Trends in data mining
  • 3.
     A datawarehouse 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 miningis 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 basicapplications 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 miningcan be divided into three main types they are:  Web content mining  Web structure mining  Web usage mining TYPES OF WEB MINING:
  • 7.
     The maintrends 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.