Data Mining for Intelligence Fraud Criminal Detection

Author: Christopher Westphal
Publisher: CRC Press
ISBN: 9781420067248
Format: PDF, ePub, Docs
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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 isn’t 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 insider’s perspective and a visionary’s 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.

Investigative Data Mining for Security and Criminal Detection

Author: Jesus Mena
Publisher: Elsevier
ISBN: 008050938X
Format: PDF, Docs
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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

Online Investigation im Due Diligence Prozess von Acquirer Banken

Author: Christian Chmiel
Publisher: BoD – Books on Demand
ISBN: 3839189039
Format: PDF, Mobi
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In den letzten Jahren hat sich die Art des Kreditkartenbetrugs weltweit schrittweise ver ndert. Der Kreditkartenmissbrauch durch den Online-H ndler wurde eine immer gr ere Bedrohung sowohl f r die Kreditkartenorganisationen an sich als auch f r die angeschlossenen Acquirer- Banken. Das vorliegende Buch ist eine Best-Practice-L sung f r Mitarbeiter von Acquirer-Banken, die im Bereich Betrugs-, Compliance- oder Risikomanagement t tig sind. Es wird auf verschiedene Vorgehensweisen zur Online-Investigation, die dazu notwendigen Werkzeuge sowie die Interpretationsm glichkeiten eingegangen, um potentielle Betrugsabsichten von Online-H ndlern schon vor der dem Anschluss an das Kreditkartennetzwerk identifizieren zu k nnen.

Introduction to Law Enforcement

Author: David H. McElreath
Publisher: CRC Press
ISBN: 1466556323
Format: PDF, Mobi
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Modern perspectives of law enforcement are both complex and diverse. They integrate management and statistical analysis functions, public and business administration functions, and applications of psychology, natural science, physical fitness, and marksmanship. They also assimilate theories of education, organizational behavior, economics, law and

Knowledge Management in Emerging Economies Social Organizational and Cultural Implementation

Author: Al-Shammari, Minwir
Publisher: IGI Global
ISBN: 1616928883
Format: PDF, Kindle
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Knowledge Management in Emerging Economies: Social, Organizational and Cultural Implementation seeks focuses on knowledge management theoretical models and empirical research findings for developing economies. This book specifically seeks to understand the social, organizational, and cultural implementation aspects of knowledge management in the context of developing economies, and to discuss issues, challenges, and trends surrounding this implementation.

Intelligence and Security Informatics

Author: Christopher C. Yang
Publisher: Springer
ISBN: 3540715495
Format: PDF, Kindle
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This book constitutes the refereed proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2007, held in Chengdu, China in April 2007. Coverage includes crime analysis, emergency response and surveillance, intrusion detection, network security, data and text mining, cybercrime and information access and security, intrusion detection, network security, terrorism informatics and crime analysis.

Intelligence and Security Informatics

Author: Hsinchun Chen
Publisher: Springer
ISBN: 3540333622
Format: PDF, Mobi
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This book constitutes the refereed proceedings of the International Workshop on Intelligence and Security Informatics, WISI 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining. The 32 papers presented together with the abstract of the keynote talk were carefully reviewed. The papers are organized in sections on Web and text mining for terrorism informatics, cybercrime analysis, network security, and crime data mining.