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I have a fraud detection algorithm, and I want to check to see if it works against a real world data set.
My algorithm says that a claim is usual or not.
Are there any data sets available?
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Some forensic accountants specialize in forensic analytics which is the procurement and analysis of electronic data to reconstruct, detect, or otherwise support a claim of financial fraud. The main steps in forensic analytics are data collection, data preparation, data analysis, and reporting.
The main Artificial intelligence techniques used for fraud detection include: Data processing to cluster, classify, and segment the info and automatically find associations and rules within the data which will signify interesting patterns, including those associated with fraud.
Below are some datasets I found that might be related.
arff format
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