A Combination of Mathematics, Statistics and Machine Learning To Detect Fraud

National Mathematics Conference, Bangladesh Mathematical Society

4 Pages Posted: 2 Apr 2020 Last revised: 16 Apr 2020

See all articles by Md Kowsher

Md Kowsher

Noakhali Science and Technology University; Stevens Institute of Technology

Date Written: December 26, 2018

Abstract

Fraud detection which is a discussible phenomenon to many bounds together with financial sectors, banking, insurance as well as diverse forms of industries. Nowadays fraud endeavors are amplifying with rampant pace especially via the development of technology, so building fraud discovery more significant than ever before. In this paper, we analyzed the fraud operations by managing the “Banking Fraud Detection” database by the combination of mathematical, statistical as well as machine learning ways and tried to spectacle a comparison among these ways. We narrated the elementary explorations by the combining methods such as mathematical, statistical as well as machine learning to equip the ways of insidious banking transactions.

Keywords: Mathematics; Statistics; Machine learning; Fraud detection

Suggested Citation

Kowsher, Md, A Combination of Mathematics, Statistics and Machine Learning To Detect Fraud (December 26, 2018). National Mathematics Conference, Bangladesh Mathematical Society , Available at SSRN: https://ssrn.com/abstract=3551240 or http://dx.doi.org/10.2139/ssrn.3551240

Md Kowsher (Contact Author)

Noakhali Science and Technology University ( email )

Bangladesh

Stevens Institute of Technology ( email )

Hoboken, NJ 07030
United States

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