Analysis on financial fraud cases by Python

DOI

10.2991/icesed-19.2020.8How to use a DOI?

Keywords

Fraud cases; Python; Financial.

Abstract

Financial frauds, which is a common phenomenon in our daily life, may take various forms. Based on real estate fraud cases in New York in 2010, this paper illustrated the process of anomaly detection by computer. Also, this paper introduced techniques to detect financial frauds, including Benford’s law and fuzzy matching and their applications in fraud detection. Through the analysis of New York property in 2010, the author also proposed suggestions by using Python.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuan Tao
PY  - 2020/01
DA  - 2020/01
TI  - Analysis on financial fraud cases by Python
BT  - Proceedings of the 2019 International Conference on Education Science and Economic Development (ICESED 2019)
PB  - Atlantis Press
SP  - 242
EP  - 247
SN  - 2352-5428
UR  - https://doi.org/10.2991/icesed-19.2020.8
DO  - 10.2991/icesed-19.2020.8
ID  - Tao2020/01
ER  -