Detecting Financial Statement Fraud: Three Essays on Fraud Predictors, Multi-Classifier Combination and Fraud Detection Using Data Mining
The goal of this dissertation is to improve financial statement fraud detection using a cross-functional research approach. The efficacy of financial statement fraud detection depends on the classification algorithms and the fraud predictors used and how they are combined. Essay I introduces IMF, a...
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| Format: | Others |
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Scholar Commons
2008
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| Online Access: | https://scholarcommons.usf.edu/etd/449 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1448&context=etd |