. of the paper, postage and staff

. INTRODUCTION:

“Turn Data into a point of
view that makes sense for decision makers”

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Modern era focuses on the fact that “Time is money”.  e-Business plays vital
role to theorize this concept.
One area that has been profoundly affected by the internet revolution is
e-business .The function of e-business is referred to as ecommerce, and the terms are occasionally  
used   interchangeably.  e -Business removes physical availability as well as location barriers also. 
In  e-business  there 
is  often  huge sending statements to the credit card holder through the post, in this scenario speculate the cost
of the paper,  postage  and 
staff  etc,  on 
the  other  hand sending
it online will provide both time and cost effectiveness. 

e-Business offers higher customer satisfaction than the traditional methods of doing the business. There is better chance of
flexibility, availability and faster
response times with online support. Mining information from Web data can help in personalizing
the browsing experience of a user by dynamically tailoring the look, feel, and
content of a website to the user’s needs and
interests.

Business intelligence tools are a type of
application software designed to retrieve, analyze and
report data. The tools generally read data that have been previously stored.

The key general categories of business
intelligence tools are:

·        
Spreadsheet

·        
Reporting and querying software

·        
OLAP: Online analytical
processing

·        
Digital dashboards

·        
Data mining

·        
Data warehousing

·        
Decision engineering

·        
Process mining

·        
Business performance management

DATA MINING:

Data mining
concepts and methods can be applied in various fields like marketing, medicine,
real estate, customer relationship management, engineering, web mining etc.

 

Data mining (DM)  has 
as  its  dominant 
goal;  the generation of non-obvious yet useful
information for  decision 
makers  from  very 
large  Data mining functions include
clustering, classification, prediction, and link analysis (associations). Using
these techniques many kinds of knowledge can be discovered such as association
rules, classifications and clustering.

One
of the most important data mining
applications is that of mining association rules to generate the knowledge which will help to the top level
management or stakeholders to take an effective decision in the business
organizations. This will definitely enhance the E-business in
all extent.

After a careful study of existing algorithms
used for data mining through the research the researcher proposes an efficient
algorithm for mining
multilevel association rule , which 
searches  for  interesting 
relationship  among items  in 
a  given  data 
set  at  multiple 
levels  in  an 
effective  way. This will be helpful for the business
specially the e-business.

2. LITERATURE REVIEW 

Literature
review has been divided in following areas:

1)     
ASSOCIATION RULE
MINING

2)     
ALGORITHM
DEVELOPMENT

3)     
E- BUSINESS

 

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