Machine Learning Forensics for Law Enforcement, Security, and Intelligence PDF
By:Jesus Mena
Published on 2011-06-24 by CRC Press
Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive and instructive tools, techniques, and technologies to arm professionals with the tools they need to be prepared and stay ahead of the game. Step-by-step instructions The book is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to |interrogate the evidence.| This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and litigation investigations. The book also provides step-by-step instructions on how to construct adaptive criminal and fraud detection systems for organizations. Prediction is the key Internet activity, email, and wireless communications can be captured, modeled, and deployed in order to anticipate potential cyber attacks and other types of crimes. The successful prediction of human reactions and server actions by quantifying their behaviors is invaluable for pre-empting criminal activity. This volume assists chief information officers, law enforcement personnel, legal and IT professionals, investigators, and competitive intelligence analysts in the strategic planning needed to recognize the patterns of criminal activities in order to predict when and where crimes and intrusions are likely to take place.
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Book ID of Machine Learning Forensics for Law Enforcement, Security, and Intelligence's Books is 24j7hoDw2XYC, Book which was written byJesus Menahave ETAG "OZvHAxYi/vo"
Book which was published by CRC Press since 2011-06-24 have ISBNs, ISBN 13 Code is 9781466508521 and ISBN 10 Code is 1466508523
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Book which have "349 Pages" is Printed at BOOK under CategoryComputers
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