Genetic Algorithm with Logistic Regression for Detection of Credit Card Fraud |
Author(s): |
Akash Prasad , B.K Birla college of Arts Science and commerce(Autonomous) Kalyan thane Maharashtra |
Keywords: |
Optimized, Genetic Algorithm, Logistic Regression, fraudulent Transactions |
Abstract |
Credit card frauds are increasing day by day due which many big companies and certain organisation suffers a huge amount loss to due such frauds. Due to such increasing frauds certain researchers has started different Machine learning algorithms to analyse various transaction of credit card details to detect the fraudulent transactions. In this Research paper we have develop a novel technique in which we analyse the certain credit card transactions details of the merchants and extract certain features. In this model we have use the logistic regression to analyse the datasets and using genetic algorithm we have train our model and we got best and optimized results. |
Other Details |
Paper ID: IJSRDV8I100049 Published in: Volume : 8, Issue : 10 Publication Date: 01/01/2021 Page(s): 121-126 |
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