BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Machine Learning Forensics for Law Enforcement, Security, and Intelligence
Stock photo: cover may vary

Machine Learning Forensics for Law Enforcement, Security, and Intelligence Hardback - 2011

by Mena, Jesus

Add to wish list
  • Used
Used - Very good

Description

Taylor & Francis Group. Used - Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Ask the seller a question Add to wish list
A$82.15
A$10.08 Delivery to USA
Standard delivery: 5 to 21 days
More delivery options
Ships from Better World Books Ltd (Fife, United Kingdom)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title Machine Learning Forensics for Law Enforcement, Security, and Intelligence
  • Author Mena, Jesus
  • Binding Hardback
  • Condition Used - Very good
  • Pages 350
  • Volumes 1
  • Language ENG
  • Publisher Taylor & Francis Group
  • Publication date 2011-06-23
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Maps
  • Bookseller's Inventory # 9956942-6
  • ISBN 9781439860694 / 1439860696
  • Weight 1.35 lbs (0.61 kg)
  • Dimensions 9.1 x 6.1 x 0.9 in (23.11 x 15.49 x 2.29 cm)
  • Themes
    • Aspects (Academic): Crime/Criminology
  • Category Legal Reference / Law Profession
  • Library of Congress subjects Electronic evidence, Computer security
  • Library of Congress Catalogue Number 2011026877
  • Dewey Decimal Code 363.250
  • Quantity available 1

About Better World Books Ltd Fife, United Kingdom

Biblio member since 2009

Better World Books is a for-profit, socially conscious business and a global online bookseller that collects and sells new and used books online, matching each purchase with a book donation. Each sale generates funds for literacy and education initiatives in the U.S., the U.K., and around the world. Since its launch in 2003, Better World Books has raised over $35 million for libraries and literacy, donated over 38 million books, and reused or recycled more than 475 million books.

Terms of Sale: Better World Books ("BWB") values your satisfaction and offers you returns within thirty (30) days after the estimated delivery date on most items. All returned items must be in the original condition; used items should include the SKU sticker located on the spine or back of the product. If you have an incomplete, incorrect, or damaged shipment, please contact our Customer Care team via Biblio's contact seller options before proceeding with the return. Please keep in mind that because we deal mostly in used books, any extra components, such as CDs, DVDs, figurines, or access codes are not included.

Browse books from Better World Books Ltd

Reader reviews for Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

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.

Media reviews

Citations

  • Reference and Research Bk News, 10/01/2011, Page 114

About the author

Jess 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.

Please wait a moment while we load the requested page.

tracking-