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Data Mining Journal Entries For Fraud Detection: A Replication Of Debreceny And Gray's (2010) Techniques, Poh Sun Seow, Pan, Gary, Themin Suwardy
Data Mining Journal Entries For Fraud Detection: A Replication Of Debreceny And Gray's (2010) Techniques, Poh Sun Seow, Pan, Gary, Themin Suwardy
Research Collection School Of Accountancy
The alarming frequency of fraud occurrences suggests that corporations continue to face persistent threat of fraud (Cecchini et al., 2010a; Summers and Sweeney, 1998). According to Association of Certified Fraud Examiner (ACFE)’s 2014 Report, a typical organization may lose five percent of its revenue to fraud every year. As such, the consequences of fraud may impact the shareholders, creditors, auditors and the public’s confidence in the integrity of corporations’ financial systems (Rezaee, 2005).