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

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

doi:10.1109/ISI.2009.5137302

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

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

Graduate School of Information Study

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages	200-202
Number of pages	3
DOIs	https://doi.org/10.1109/ISI.2009.5137302
Publication status	Published - 2009
Event	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States Duration: 2009 Jun 8 → 2009 Jun 11

Publication series

Name	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Other

Other	2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Country/Territory	United States
City	Dallas, TX
Period	09/6/8 → 09/6/11

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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10.1109/ISI.2009.5137302

Cite this

Kimin, S., Jaemin, C., Yong-seok, C., Dong-chan, L., & Sangjin, L. (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] (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009). https://doi.org/10.1109/ISI.2009.5137302

Research about extracting and analyzing accounting data of company to detect financial fraud. / Kimin, Seo; Jaemin, Choi; Yong-seok, Choi; Dong-chan, Lee; Sangjin, Lee.

2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009. 2009. p. 200-202 5137302 (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kimin, S, Jaemin, C, Yong-seok, C, Dong-chan, L & Sangjin, L 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., 5137302, 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, pp. 200-202, 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, Dallas, TX, United States, 09/6/8. https://doi.org/10.1109/ISI.2009.5137302

Kimin S, Jaemin C, Yong-seok C, Dong-chan L, Sangjin L. 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. 2009. p. 200-202. 5137302. (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009). https://doi.org/10.1109/ISI.2009.5137302

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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.",

keywords = "Accounting management system, Data mining, Financial fraud, Forensic accounting, Fraud detection",

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

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Keywords

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