Title: “Exploring Pattern Recognition and Frequency Analysis for Fraud Detection in Criminal Justice” Introduction: Pattern recognition is a crucial process in fraud detection, especially in the field of criminal justice. It involves identifying predefined conditions or attributes that may indicate fraudulent

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