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Machine Learning Forensics for Law Enforcement, Security, and Intelligence
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DescrizioneIncreasingly crimes and fraud are digital in nature occurring with real time velocity and at vast volumes. This book covers how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to 'interrogate the evidence' for fraud detection, cybersecurity, competitive counterintelligence, corporate and litigation investigations. It provides step-by-step guidance on how to construct adaptive criminal and fraud detection systems for organizations.
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