• Corpus ID: 51072356

Credit Card Fraud Detection & Prevention of Fraud Using Genetic Algorithm

@inproceedings{Patel2013CreditCF,
  title={Credit Card Fraud Detection \& Prevention of Fraud Using Genetic Algorithm},
  author={Rinky D. Patel and Dheeraj Kumar Singh},
  year={2013}
}
292 Abstract— Companies and institutions move parts of their business, or the entire business, towards online services providing e-commerce, information and communication services for the purpose of allowing their customers better efficiency and accessibility. Payment card fraud has become a serious problem throughout the world. Companies and institutions loose huge amounts annually due to fraud and fraudsters continuously seek new ways to commit illegal actions. In this we will try to detect… 

Credit Card Fraud Detection

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Credit Card Fraud Detection System: A Survey

A survey of various techniques used in credit card fraud detection mechanisms is presented.

Survey on Credit Card Fraud Detection Techniques

A survey of various techniques used in various credit card fraud detection mechanisms, based on Artificial Intelligence, Fuzzy Logic, Neural Network, Logistic Regression, Naive Bayesian, Machine Learning, Sequence Alignment, Decision tree, Bayesian network, meta learning, Genetic programming etc., are presented.

Fraudulent Detection in Credit Card System Using SVM & Decision Tree

Artificial intelligence concept of Support Vector Machine (SVM) & decision tree is being used to solve the problem of fraudulent detection and by implementation of this hybrid approach, financial losses can be reduced to greater extend.

Hidden Markov Model and Genetic Algorithm Based Credit Card Fraud Detection

This paper is proposing the algorithm with the combined approach of hidden markov model and gentic algorithm of the data mining techniques and getting the better result with respective of the individual approaches.

Credit Card Fraud Detection Using Machine Learning Approach

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Credit Card Fraud Detection using Machine Learning Algorithms

The objective of the project is to predict the fraud and fraud less transaction with respect to the time and amount of the transaction using classification machine learning algorithms and statistics and calculus and linear algebra.

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Review of Credit Card Fraud Detection Techniques

A plethora of detection techniques ranging from Genetic algorithms to Sequence Matching to Neural Networks are discussed, analyzed and reviewed below.

References

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