Forensic analytics using cluster analysis: Detecting anomalies in data

Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use through a...

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Main Authors:	GOH, Clarence, LEE, Benjamin Huan Zhou, PAN, Gary, Seow, Poh-Sun
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2021
Subjects:	Forensic accounting data analytics clustering Tableau Accounting
Online Access:	https://ink.library.smu.edu.sg/soa_research/1896 https://ink.library.smu.edu.sg/context/soa_research/article/2923/viewcontent/Forensic_Analytics_using_Clustering.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.soa_research-2923
record_format	dspace
spelling	sg-smu-ink.soa_research-29232021-08-03T10:47:29Z Forensic analytics using cluster analysis: Detecting anomalies in data GOH, Clarence LEE, Benjamin Huan Zhou PAN, Gary Seow, Poh-Sun Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use through a worked example using the Tableau software. 2021-02-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/1896 info:doi/10.1002/jcaf.22486?af=R https://ink.library.smu.edu.sg/context/soa_research/article/2923/viewcontent/Forensic_Analytics_using_Clustering.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University Forensic accounting data analytics clustering Tableau Accounting
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Forensic accounting data analytics clustering Tableau Accounting
spellingShingle	Forensic accounting data analytics clustering Tableau Accounting GOH, Clarence LEE, Benjamin Huan Zhou PAN, Gary Seow, Poh-Sun Forensic analytics using cluster analysis: Detecting anomalies in data
description	Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use through a worked example using the Tableau software.
format	text
author	GOH, Clarence LEE, Benjamin Huan Zhou PAN, Gary Seow, Poh-Sun
author_facet	GOH, Clarence LEE, Benjamin Huan Zhou PAN, Gary Seow, Poh-Sun
author_sort	GOH, Clarence
title	Forensic analytics using cluster analysis: Detecting anomalies in data
title_short	Forensic analytics using cluster analysis: Detecting anomalies in data
title_full	Forensic analytics using cluster analysis: Detecting anomalies in data
title_fullStr	Forensic analytics using cluster analysis: Detecting anomalies in data
title_full_unstemmed	Forensic analytics using cluster analysis: Detecting anomalies in data
title_sort	forensic analytics using cluster analysis: detecting anomalies in data
publisher	Institutional Knowledge at Singapore Management University
publishDate	2021
url	https://ink.library.smu.edu.sg/soa_research/1896 https://ink.library.smu.edu.sg/context/soa_research/article/2923/viewcontent/Forensic_Analytics_using_Clustering.pdf
_version_	1770575777440464896

Forensic analytics using cluster analysis: Detecting anomalies in data

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