Research about extracting and analyzing accounting data of company to detect financial fraud

Seo Kimin, Choi Jaemin, Choi Yong-seok, Lee Dong-chan, Sangjin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Numbers of companies are using AMS (Accounting Management System) to manage their accounting data. In the case of large corporations they tend to use ERP (Enterprise Resources Planning), but except them most of companies use AMS to manage their accounting information. In the other words, every company is using some sort of digital data format to manage their accounting data. Therefore, if there is a tool to extract and analyze accounting data to detect any financial fraud, a forensic accountant can use it wisely. This paper introduces about forensic accounting and its related works, and shows a design of forensic accounting tool that could extract accounting data from a company's AMS and analyze them.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages200-202
Number of pages3
DOIs
Publication statusPublished - 2009 Oct 22
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: 2009 Jun 82009 Jun 11

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
CountryUnited States
CityDallas, TX
Period09/6/809/6/11

Keywords

  • Accounting management system
  • Data mining
  • Financial fraud
  • Forensic accounting
  • Fraud detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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    Kimin, S., Jaemin, C., Yong-seok, C., Dong-chan, L., & Lee, S. (2009). Research about extracting and analyzing accounting data of company to detect financial fraud. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 200-202). [5137302] https://doi.org/10.1109/ISI.2009.5137302