Product Description
Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used to combat crime in the 21st century. It introduces security managers, law enforcement investigators, counter-intelligence agents, fraud specialists, and information security analysts to the latest data mining techniques and shows how they can be used as investigative tools. Readers will learn how to search public and private databases and networks to flag potential security threats and root out criminal activities even before they occur.
The groundbreaking book reviews the latest data mining technologies including intelligent agents, link analysis, text mining, decision trees, self-organizing maps, machine learning, and neural networks. Using clear, understandable language, it explains the application of these technologies in such areas as computer and network security, fraud prevention, law enforcement, and national defense. International case studies throughout the book further illustrate how these technologies can be used to aid in crime prevention.
Investigative Data Mining for Security and Criminal Detection will also serve as an indispensable resource for software developers and vendors as they design new products for the law enforcement and intelligence communities.
Key Features:
* Covers cutting-edge data mining technologies available to use in evidence gathering and collection
* Includes numerous case studies, diagrams, and screen captures to illustrate real-world applications of data mining
* Easy-to-read format illustrates current and future data mining uses in preventative law enforcement, criminal profiling, counter-terrorist initiatives, and forensic science
* Introduces cutting-edge technologies in evidence gathering and collection, using clear non-technical language
* Illustrates current and future applications of data mining tools in preventative law enforcement, homeland security, and other areas of crime detection and prevention
* Shows how to construct predictive models for detecting criminal activity and for behavioral profiling of perpetrators
* Features numerous Web links, vendor resources, case studies, and screen captures illustrating the use of artificial intelligence (AI) technologies
 | US $53.33 End Date: Tuesday Jun-05-2012 6:58:10 PDT Buy It Now for only: US $53.33 Buy it now | Add to watch list |
It’s the second book of Jesus Mena that I read. The subject of this new one is a little bit opportunistic in the world and US actuality. The book is a sort of general presentation of applications in fraud investigation in terms of models, tools and usages. Of course to build such models the book is not enough detailed to do it but all the elements are given to you to go deeper in the subject. In cas this book is to read absolutly.
Amazon User Rating: 3 / 5
There are many data mining books written on CRM but this is the first time I see data mining written on such topic. There are many interesting ideas, applications and software references. The wide coverage of the recent techniques are very informative. I bet many criminals will be looking at this book as well!
Amazon User Rating: 4 / 5
This easy to read book is about the prevention of crime using Advanced Data Mining technologies, tools and techniques. The book explains in plain English the technologies, how they work and how they can be used to prevent crime or terrorism. The audience can be anybody interested in the prevention of crime or terrorism such as security specialist, law enforcement, intelligence agents, fraud investigators and public in general since no intricate math is involved. White House’s national strategy for homeland security involves Data Mining.
There is a huge amount of disperse information that needs to be gathered, integrated and analyzed. Data mining can assist analysts in sorting through hundreds of thousands of records and can help investigator to reach conclusions in less time. This amazing book covers the latest data mining technologies including Data Integration, Link Analysis, Software Agents, Text Mining, Neural Networks and Machine Learning. Throughout the book there are many case studies, references and Web links to illustrate real world applications of Data Mining. This is a excellent reference book.
Amazon User Rating: 5 / 5
I believe this is the first book that brings together the discipline of Data Mining (AI) and the field of forensic criminal detection. His emphasis of the various AI driven technologies with real life case studies makes this book a must read for every intelligence analyst in the intelligence community, Homeland Security and DoD. He makes the very complex field of DM tied with the fields of public safety and criminal detection easier to understand. His focus on Homeland Security, with many real life examples of DM technologies and their importance, assists in the understanding of new technologies role in information sharing. He briefly touches on two key areas of technology which are destined to be at the forefront of DM i.e., software agents and machine learning combined together to offer a unique opportunity to revolutionize the field of criminal detection where sharing information without moving the data is a critical requirement of protecting privacy and ownership.
Amazon User Rating: 5 / 5
It used to be that only government agencies and corporate behemoths could maintain huge data warehouses. Now, that information is only a Web trip to Google away. With the combined power of Internet tools and cheap hard drives, search engines and archival databases can enable almost anyone to find information about almost anyone else.
Today’s challenge, however, is not finding or storing the data, but rather making sense of it. That’s where Investigative Data Mining for Security and Criminal Detection comes in. It shows how myriad distributed data streams can be harnessed to fight crime.
Through easy-to-read prose, the reader learns how to use both public and private databases and networks to find threats and minimize risks. Besides explaining how data mining is done, the book introduces the reader to such techniques as intelligent agents (software that performs user-delegated tasks autonomously), link analysis (a process involving the mapping of the associations between suspects and locations), and text mining (a process used to identify a document’s content based on linguistic analysis) and how they can aid law enforcement.
For example, law enforcement in the United Kingdom use text mining to “institutionalize the knowledge of criminal perpetrators and organized gangs and groups,” author Jesús Mena writes. Case studies buttress these points.
This work is one of the first books to show security professionals the power of data mining as an investigative tool. As such, it is itself a powerful tool for the industry.
Amazon User Rating: 4 / 5