Detection of fraudulent financial statements using the hybrid data mining approach-Reference-Cited by-同舟云学术

Detection of fraudulent financial statements using the hybrid data mining approach

Published:2016-01-27 Issue:1 Volume:5 Page:
ISSN:2193-1801
Container-title:SpringerPlus
language:en
Short-container-title:SpringerPlus

Author:

Chen Suduan

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1186/s40064-016-1707-6.pdf

Reference44 articles.

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3. Beasley MS, Carcello JV, Hermanson DR (1999) Fraudulent financial reporting 1987-1997: an analysis of U.S. public companies. The Committee of Sponsoring Organizations of the Treadway Commission (COSO), New York

4. Beaver WH (1966) Financial ratios as predictors of failure. J Account Res 4:71–111

5. Bell T, Carcello J (2000) A decision aid for assessing the likelihood of fraudulent financial reporting. Audit A J Pract Theory 9(1):169–178

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