Machine Learning Forensics for Law Enforcement, Security, and Intelligence

by Jesus Mena

Overview

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

Product Details

ISBN-13:	9781466508521
Publisher:	CRC Press
Publication date:	04/19/2016
Sold by:	Barnes & Noble
Format:	eBook
Pages:	349
File size:	3 MB

About the Author

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.

Table of Contents

What Is Machine Learning Forensics? Digital Investigative Maps and Models: Strategies and Techniques. Extractive Forensics: Link Analysis and Text Mining. Inductive Forensics: Clustering Incidents and Crimes. Deductive Forensics: Anticipating Attacks and Precrime. Fraud Detection: On the Web, Wireless, and in Real Time. Cybersecurity Investigations: Self - Organizing and Evolving Analyses. Corporate Counterintelligence: Litigation and Competitive Investigations. Index.