Study on the Customer targeting using Association Rule Mining
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 7
Abstract
Data mining is one of the widest area where many researches takes place to mine desired and hidden data. There are many different approaches to find the hidden data. This paper deals with Frequent Pattern growth algorithm which follows ssociation rule concept to group the required data items. Using this method of mining time can be reduced to a greater extent. This paper contains implementation of a real time system; the implementation is about making a survey on the group of people and their mobile connection’s service providers. End result contains the set of people from a particular age group with their support and confidence for the service provider they have chosen. Based on which any decisions can be made by service providers to enhance their business and attain many customers.
Authors and Affiliations
Surendiran. R , Rajan. K. P , Sathish Kumar. M
Keywords
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