Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies
β Scribed by Christopher Westphal
- Year
- 2008
- Tongue
- English
- Leaves
- 450
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isnβt worth much unless we can determine that these systems are being effectively and responsibly employed. Written by one of the most respected consultants in the area of data mining and security, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced by these systems and evaluates their effectiveness. While CSI-type shows may depict information sharing and analysis that are accomplished with the push of a button, this sort of proficiency is more fiction than reality. Going beyond a discussion of the various technologies, the author outlines the issues of information sharing and the effective interpretation of results, which are critical to any integrated homeland security effort. Organized into three main sections, the book fully examines and outlines the future of this field with an insiderβs perspective and a visionaryβs insight. Section 1 provides a fundamental understanding of the types of data that can be used in current systems. It covers approaches to analyzing data and clearly delineates how to connect the dots among different data elements Section 2 provides real-world examples derived from actual operational systems to show how data is used, manipulated, and interpreted in domains involving human smuggling, money laundering, narcotics trafficking, and corporate fraud Section 3 provides an overview of the many information-sharing systems, organizations, and task forces as well as data interchange formats. It also discusses optimal information-sharing and analytical architectures Currently, there is very little published literature that truly defines real-world systems. Although politics and other factors all play into how much one agency is willing to support the sharing of its resources, many now embrace the wisdom of that path. This book will provide those individuals with an understanding of what approaches are currently available and how they can be most effectively employed.
π SIMILAR VOLUMES
<P>Reflects a decade of leading-edge research on intelligence and security informatics. </P> <P>Dr Chen is researcher at the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research. </P> <P>Describes real-world community situations. </P> <P
<p><P>On September 11, 2001 the World became cognizant of the security challenges it faces on an international scale. With this awareness a commitment has come from the scientific, engineering, and health communities to help the world meet an array of security challenges. From these activities the s
This text introduces security professionals, intelligence and law enforcement analysts, and criminal investigators to the use of data mining as a new kind of investigative tool, and outlines how data mining technologies can be used to combat crime.
Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully