Abstract— links, objects ,hyperlink, text , images. This

 

Abstract—

Web Mining is an important technique of Data Mining
.The goal of Web mining is to look for patterns in Web data by collecting and
analyzing information .Web Mining  is
used  to 
extraction of  knowledge from the
World Wide Web, understand the customer behavior and evaluation of particulars
web site. Web Data includes web pages, web links, objects ,hyperlink, text ,
images. This paper is focus on  different
types of web mining i.e. web content mining, web structure mining and web
usages mining. This paper also focuses on application and issues of web mining.

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1.
Introduction-

          In this modern era, computers and internet plays
very important role in each and every field. Use of internet increased day by
day.Size of  web is extremely large
because web is a collection of inter-related files on one or
more Web servers. Web Data includes web
pages, objects, hyperlink, text, images, audio, video, tables and list. As a
data on web is unstructured, web mining is the application of data
mining techniques to extract knowledge from Web data.

     Web mining is the application of data mining techniques to
discover patterns from the World Wide Web .It can be also stated as the process
of analyzing the data or information about a piece of data from the web. Web
mining is the integration of information gathered from traditional data mining
methodologies and techniques.

 

2.
Overview of mining techniques:

2.1
Data Mining:

                   Data mining is the efficient discovery of valuable,
non obvious information from a large collection of data. Data mining is the
analysis step of the Knowledge Discovery in Databases Process (KDD).It refers
to extracting or mining knowledge from large amounts of data. Data mining is
the search for new, valuable and nontrivial information in large volumes of
data. It is an iterative process within which progress is defined by discovery,
through either automatic or manual method. In data mining after integration
cleaning and transformation, they are all being stored in a Data Warehouse.
Mostly the data are in categorical and numerical order but multimedia data are
also included the data is formatted in text file or tabular format. They are
mostly structured data.        

 

2.2
Web Mining:

Web mining is the application of data mining techniques
to discover patterns of information or data on web. Web logs, cookiesand web
pages are the data used in this solution. The data are gotten from the WWW and
could be structured, unstructured or semi-structured. Depending on which type
of Web mining is being done. In web mining, our data are stored on the web in
web log files on a server.  

 

3.
Classification of Web Mining:

Web mining is commonly divided into the following
three sub-areas:

 

 

 

 

Fig.
1. The types of Web mining