Fraud detection has become a critical component of financial audits and audit standards have heightened emphasis on journal entries as part of fraud detection. This paper canvasses perspectives on applying data mining techniques to journal entries. For this project, we had access to journal entry data sets for 29 different organizations. Our test found that the distribution was not uniform for many of the entities. In fact, eight entities had one number whose frequency was three times more than expected.
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https://www.sciencedirect.com/science/article/abs/pii/S1467089510000540