An Efficient Approach for Credit Card Fraud Detection

Authors : Rajeev Kumar, Rajesh Budihul

Volume/Issue : Volume 5 - 2020, Issue 4 - April

Google Scholar :

Scribd :

The objectives of this research paper, the topic of credit card fraud detection has gained and developed fraudsters are increasing day by day among researches because of their frequent look in varied and widespread application within the field of various branches of information technology and engineering. For example, genetic algorithms, Behavior-based techniques, and Hidden Marks models are also used to address these problems of technology. Credit card fraud detection models for transactions are tested individually and proceed to whatever is most effective. The aim of this thesis is to develop some method of detecting fraudulent transactions and producing test dataset. These algorithms are the predictive method in solving high complication computational problems.

Keywords : Fraud detection of credit card; Naive Bayes, KNearest Neighbors and Logistic Regression Classifier; Hidden Markov Model; K-means Clustering; GMDH; DST; Bayesian learning and Neural Network.


Paper Submission Last Date
30 - June - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.