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 worked example using the Tableau software

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Year of publication:	[2021]
Authors:	Goh, Clarence ; Lee, Benjamin ; Pan, Gary ; Seow, Poh-Sun
Publisher:	[S.l.] : SSRN
Subject:	Clusteranalyse \| Cluster analysis \| Theorie \| Theory \| Data Mining \| Data mining

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Extent:	1 Online-Ressource (21 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Journal of Corporate Accounting Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 2020 erstellt
Other identifiers:	10.2139/ssrn.3760210 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013252068