A framework for detecting financial statement fraud through multiple data sources

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A framework for detecting financial statement fraud through multiple data sources

This project deals with how to detect fraud and non-compliance in financial statements in the present day in one of the biggest economies in the world, the U.S. Since it is mainly public companies that release detailed financial infor-mation, they are the focus. This project focuses on the top five...

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Bibliographic Details
Main Authors:	Dillon, Darshan, Hadzic, Maja
Other Authors:	Okyay Kaynak
Format:	Conference Paper
Published:	IEEE 2009
Subjects:	data mining public companies revenue recognition ontology financial statement fraud
Online Access:	http://hdl.handle.net/20.500.11937/14389

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