Implementation of Association Rule with Modified Genetic Algorithm for Loan Approval in Banking |
Author(s): |
Kuchi Sekhar , KMM institute of PG studies; I. Madhavi Latha, KMM institute of PG studies |
Keywords: |
Association Rule, Modified Genetic Algorithm, Frequent Patterns |
Abstract |
In the banking sector one of the crucial task is approval of loan. Depending on the customer’s credit card score and report, employment status, EMI income ration, payment history and lot of activities are involved in the approval process of the loan. For detecting who is genuine or who is not correct person to get the loan is not a simple tasks for bank peoples. In this process it consumes lot of time and money to verify for the genunity of the loan seekers. In this paper it provides the solution for the problems in loan approval processing. By applying association rule along with genetic algorithm, it gives high accurate data about the loan seeker. It reduce the consuming of time and in the short time bank peoples can approve the loan. By implementing genetic algorithm in association rule, it gives high accuracy of data about the loan seeker. So that it reduce effort of the bank peoples as a result loan can approved with in the stipulated time. |
Other Details |
Paper ID: IJSRDV7I10674 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 886-889 |
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