Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Author:   Jesus Mena
Publisher:   Taylor & Francis Inc
ISBN:  

9781439860694


Pages:   350
Publication Date:   23 June 2011
Format:   Hardback
Availability:   In Print   Availability explained
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Machine Learning Forensics for Law Enforcement, Security, and Intelligence


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Author:   Jesus Mena
Publisher:   Taylor & Francis Inc
Imprint:   Taylor & Francis Inc
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.635kg
ISBN:  

9781439860694


ISBN 10:   1439860696
Pages:   350
Publication Date:   23 June 2011
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Jesús 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.

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