Auditing Journal Entries Using Self-Organizing Map

A considerable body of regulatory pronouncements attests to the significance of auditing journal entries for ensuring that financial statements are free of material misstatements; however, existing ...

[1]  Roger S. Debreceny,et al.  Data mining journal entries for fraud detection: An exploratory study , 2010, Int. J. Account. Inf. Syst..

[2]  Khaled Labib,et al.  NSOM: A Real-Time Network-Based Intrusion Detection System Using Self-Organizing Maps , 2002 .

[3]  Teuvo Kohonen,et al.  Comparison of SOM Point Densities Based on Different Criteria , 1999, Neural Computation.

[4]  Shawn Ostermann,et al.  Detecting Anomalous Network Traffic with Self-organizing Maps , 2003, RAID.

[5]  Sarah E. Bonner,et al.  Fraud Type and Auditor Litigation: An Analysis of SEC Accounting and Auditing Enforcement Releases , 1999 .

[6]  Richard A. Riley,et al.  Financial Statement Fraud: Insights from the Academic Literature , 2008 .

[7]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[8]  Yaling Yang,et al.  Integrating Neural Networks for Risk-Adjustment Models , 2008 .

[9]  P. Brockett,et al.  Using Kohonen's Self-Organizing Feature Map to Uncover Automobile Bodily Injury Claims Fraud , 1998 .

[10]  Eckhardt Kriel Ca.  Discussion of 'Data mining journal entries for fraud detection: An exploratory study' , 2010 .

[11]  Niall M. Adams,et al.  Off-the-peg and bespoke classifiers for fraud detection , 2008, Comput. Stat. Data Anal..

[12]  James A. Mahaffey,et al.  Multiple Self-Organizing Maps for Intrusion Detection , 2000 .

[13]  David J. Hand,et al.  Statistical fraud detection: A review , 2002 .

[14]  VARUN CHANDOLA,et al.  Anomaly detection: A survey , 2009, CSUR.

[15]  Robert P. W. Duin,et al.  Novelty Detection Using Self-Organizing Maps , 1997, ICONIP.

[16]  Samuel Kaski,et al.  Comparing Self-Organizing Maps , 1996, ICANN.