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Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: . Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.
The content analysis is the central part of the digital forensic analysis process and it is based on the content of the audio file to find traces of manipulation and anti-forensic processing operations. The content-based audio forensic techniques can be split in the following categories: Electrical Network Frequency (ENF)
Several algorithms exist to help with analysis of data – Dijkstra's algorithm, breadth-first search, and depth-first search. Link analysis focuses on analysis of relationships among nodes through visualization methods (network charts, association matrix). Here is an example of the relationships that may be mapped for crime investigations: [3]
Tertiary prevention is used after a crime has occurred in order to prevent successive incidents. Such measures can be seen in the implementation of new security policies following acts of terrorism such as the September 11, 2001 attacks. Situational crime prevention uses techniques focusing on reducing on the opportunity to commit a crime. Some ...
The usual process for data sonification is directing digital media of a dataset through a software synthesizer and into a digital-to-analog converter to produce sound for humans to experience. [ 1 ] [ 2 ] [ 3 ] Benefits to interpreting data through sonification include accessibility, pattern recognition, education, and artistic expression.
Predictive policing is the usage of mathematics, predictive analytics, and other analytical techniques in law enforcement to identify potential criminal activity. [1] [2] [3] A report published by the RAND Corporation identified four general categories predictive policing methods fall into: methods for predicting crimes, methods for predicting offenders, methods for predicting perpetrators ...
Audio mining is a technique by which the content of an audio signal can be automatically analyzed and searched. It is most commonly used in the field of automatic speech recognition , where the analysis tries to identify any speech within the audio.
Crime analysis employs data mining, crime mapping, statistics, research methods, desktop publishing, charting, presentation skills, critical thinking, and a solid understanding of criminal behavior. In this sense, a crime analyst serves as a combination of an information systems specialist, a statistician, a researcher, a criminologist, a ...