This paper is published in Volume-7, Issue-3, 2021
Area
Information Technology
Author
Pratik Prashant Borkar, Ankita Vijay Munj, Prathmesh Prakash Risbud, Sahil Ganpat Sarang
Org/Univ
Finolex Academy of Management and Technology, Ratnagiri, Maharashtra, India
Pub. Date
25 May, 2021
Paper ID
V7I3-1459
Publisher
Keywords
Credit Card, Fraud Detection, Machine Learning, Data Science

Citationsacebook

IEEE
Pratik Prashant Borkar, Ankita Vijay Munj, Prathmesh Prakash Risbud, Sahil Ganpat Sarang. Credit card fraud detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pratik Prashant Borkar, Ankita Vijay Munj, Prathmesh Prakash Risbud, Sahil Ganpat Sarang (2021). Credit card fraud detection. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Pratik Prashant Borkar, Ankita Vijay Munj, Prathmesh Prakash Risbud, Sahil Ganpat Sarang. "Credit card fraud detection." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

In today's world, due to the rapid increase of technology many countries in the world encouraging cashless transactions. Credit cards are the easiest and fastest mode of payment both in offline as well as online transactions. So, credit cards are becoming a more popular mode of transaction in modern-day life. This also increases fraud cases in credit card transactions. Peoples and companies face a huge amount of loss of money due to these increasing cases of fraud transactions. This also affects the liability of the bank systems and service providers. This is why it becomes very important to detect fraud transactions and avoid financial loss. The good thing is fraud tends to occur in patterns so machine learning algorithms can help us to predict them. Our objective is to reduce the tedious work of the fraud detection process with the help of machine learning and data science.
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