Work

Credit Card Fraud Detection System

Year: 2022

Type: article

Abstract: : In today’s world everything is online which also increases the chances of fraud. There are approximately 36.4 percent fraud related to commercial cards which include credit card, debit card, etc. In 2022 there are 64 million people who uses credit card to initiate the transaction, therefore they are also prone to the card fraud. So, in this document we talk about the various machine learning algorithms to predict the credit card fraud based on the previous transaction pattern. Keywords: K nearest neighbour, Machine learning, Credit card, decision tree, random forest

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2022.43240

Authors: Aakash ., Akash Kuma, Ravi Pratap Singh

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4281920762

FWCI:

Cites:

Cited by:

Related to: 10