Overview

The strategic use of network-centric software for data aggregation, integration, collaboration, categorization, and pattern-recognition by homeland security personnel at the local, state, and federal level is essential in combating terrorism in the 21st century. With the use of an assortment of software components, self-adaptive intelligent systems can be created for real-time use by a network of analysts. Homeland Security Techniques and Technologies provides important tips and tools necessary for achieving security that is both proper and functional. The book illustrates several key topics required in successful combating terrorism e.g., data warehousing techniques for behavioral profiling and entity validation to prevent identity theft; artificial intelligence and the Internet for the creation of virtual databases of images, html files, and e-mails; aggregating, preparing, and mining data remotely over networks anywhere in the world; and the visual mapping of connecting and tracking individuals on a global scale. Homeland Security Techniques and Technologies is an essential guide to understanding the different forms of terrorism and knowing the techniques of combating and preventing attacks.

Full Product Details

9781584503286

Table of Contents

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Dedication Introduction Chapter 1 Overview: The Homeland Security (HS) Tasks, Technologies, and Processes Chapter 2 Aggregation: How to Leverage the Web, Robots, and Commercial Demographics for Entity Validation Chapter 3 Integration: The Components, Adapters, Middleware, and Web Services for Information Sharing Chapter 4 Collaboration: The Technologies for Communicating Content, Expertise, and Analyses in Real Time Chapter 5 Categorization: The Techniques for the Clustering of Concepts from Unstructured Content Chapter 6 Intelligence: Systems for Detecting Terrorist Crimes Chapter 7 Mining: Pattern Recognition and Agent Technologies for Analyzing Text and Data Remotely About the CD-ROM Index

Author Information

Jesus Mena (Alameda, CA) is a data mining consultant and writer with over 15 years experience. He is a former Artificial Intelligence Specialist for the Internal Revenue Service. Dozens of his articles have appeared in IT, Internet, Marketing, and AI publications. He is the author of Investigative Data Mining for Security and Criminal Detection, Data Mining Your Website, and WebMining for Profit.

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