Jesus Mena

Machine Learning Forensics for Law Enforcement, Security, and Intelligence (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 349
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781466508521
• Artikelnr.: 38313164

Autorenporträt

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.

Inhaltsangabe

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.