Data Analysis for Fraud Detection in Finance

Simple item page
dc.contributor.authorAlmutairi, Raghad
dc.contributor.authorGodavarthi, Abhishek
dc.contributor.authorReddy Kotha, Arthi
dc.date.accessioned2022-06-13T16:25:49Z
dc.date.available2022-06-13T16:25:49Z
dc.date.issued2022-06-04
dc.description.abstractCredit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As the online shopping is booming it helps in rendering the cashless payment modes. It can be used at shopping's, paying rent, paying utilities bill, internet bill, travel and transportation, entertainment, food. Using for all these things there is a chance of fraud transactions for a credit card, hence there is more risk. There are many types of fraudulent detections most of the banks and institutions are preferring fraud detection applications.it has become very hard to find out the fraud detections, After the transaction is done there is a chance of detecting fraudulent transactions in the manual business processing system. In real time the bunco transactions are done with real transactions, but it seems not to be sufficient for detecting . Machine learning and data science both are playing a very important role in identifying the fraud detections. This study uses data science and machine learning for detecting the fraud detection to demonstrate various modellings. The problem enables the transactions of the previously done transaction data.
dc.identifier.urihttps://hdl.handle.net/1920/12905
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectBanking Services
dc.subjectFraud detection
dc.subjectCredit Cards
dc.titleData Analysis for Fraud Detection in Finance
dc.typeWorking Paper

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
card_fraud_mason_archive.pdf
Size:
718.57 KB
Format:
Adobe Portable Document Format
Description:
the paper
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.52 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Volgenau School of Engineering Graduate Research