📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Review on different mechanisms for detecting financial fraud using machine learning

Sandeep Shinde, Satish Kale

DOI: 10.17148/IJARCCE.2022.11535

Abstract: In finance sector online digital transactions are rapidly growing in world global market. Due to pandemic condition every part world uses the digital transaction to purchase daily used commodity. According the world payment report, digital transaction are drastically increase more than double after pandemic. As online transaction rapidly increases properly false and fraud transaction has been increased. According the survey report more than seventy percent of customer in India are confusion about digital transaction which is more percentage than last two years. In this paper we have addressing various machine learning approaches to detecting false or fraud transaction.

Keywords: Machine learning, Supervised learning, Unsupervised learning.

How to Cite:

[1] Sandeep Shinde, Satish Kale, “Review on different mechanisms for detecting financial fraud using machine learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11535