Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Machine learning forensics can be used to recognize patterns of criminal activity, detect network intrusions, and discover evidence. Mena, an artificial intelligence specialist, compiles deductive and inductive tools for analyzing digital evidence in this guide for CIOs, law enforcement personnel, legal and IT professionals, fraud and criminal investigators, and competitive intelligence analysts. The book provides step-by-step guidance on constructing criminal and fraud detection systems for private and governmental organizations, and explains techniques for predicting cyber attacks and human and nonhuman responses based on digital data such as cell phone and email records, browser history, and keyword use. Corporate counterintelligence is also covered. The book is illustrated with b&w screenshots, images, illustrations, and numerous checklists and summary tables. Mena has consulted for the Department of Homeland Security. Annotation c2011 Book News, Inc., Portland, OR (booknews.com)

Jesus Mena is a former Internal Revenue Service Artificial Intelligence specialist and the author of numerous data mining, web analytics, law enforcement, homeland security, forensic, and marketing books. Mena has also written dozens of articles and consulted with several businesses and governmental agencies. He has over 20 years’ experience in expert systems, rule induction, decision trees, neural networks, self-organizing maps, regression, visualization, and machine learning and has worked on data mining projects involving clustering, segmentation, classification, profiling and personalization with government, web, retail, insurance, credit card, financial and healthcare data sets. He has worked, written, and lectured on various behavioral analytics and social networking techniques, personalization mechanisms, web and mobile networks, real-time psychographics, tracking and profiling engines, log analyzing tools, packet sniffers, voice and text recognition software, geolocation and behavioral targeting systems, real-time streaming analytical software, ensemble techniques, and digital fingerprinting.