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Pattern recognition is the process of searching for a predefined condition in a data set. The pattern is implied through the four strategies or is defined as an attribute to a fraud scenario. Every data interrogation routine uses pattern recognition. The key is to know what you are looking for versus identifying a data pattern that does not correlate to a fraud scenario (Vona, 2017).
Based on the readings in the textbook, there are five general categories of pattern recognition for fraud detection. Discuss the five (5) general categories in detail. The contrast pattern recognition with frequency analysis. Review the following fraud case and examine the patterns.
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Discipline: criminal justice
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