Analysis on Credit Card Fraud Detection Methods

Introduction to Analysis on Credit Card Fraud Detection Methods:

Analysis on Credit Card Fraud Detection Methods topic explains about developing efficient artificial intelligence techniques like data mining, genetic programming, sequence alignment and machine learning. In present scenario there are many techniques which are not efficient because of this for every year there are many credit card fraud cases . In this paper we provide detailed explanation on A fusion approach using Dempster–Shafer theory and Bayesian learning, BLAST-SSAHA Hybridization for Credit Card Fraud Detection.

For more information on this topic students can download reference material from below links.

Final year students can use analysis on credit card fraud detection method topic as seminar topic.

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