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Intelligent Data Mining in Law Enforcement Analytics

Author : Paolo Massimo Buscema

Publisher : Springer Science & Business Media

Page : 522 pages

File Size : 15,12 MB

Release : 2012-11-28

Category : Social Science

ISBN : 9400749147

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Book Description

This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.



Data Mining and Predictive Analysis

Author : Colleen McCue

Publisher : Butterworth-Heinemann

Page : 422 pages

File Size : 13,36 MB

Release : 2014-12-30

Category : Law

ISBN : 0128004088

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Book Description

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive, security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings. This revised text highlights new and emerging technology, discusses the importance of analytic context for ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics in intelligence and security analysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment. - Discusses new and emerging technologies and techniques, including up-to-date information on predictive policing, a key capability in law enforcement and security - Demonstrates the importance of analytic context beyond software - Covers new models for effective delivery of advanced analytics to the operational environment, which have increased access to even the most powerful capabilities - Includes terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis



Investigative Data Mining for Security and Criminal Detection

Author : Jesus Mena

Publisher : Elsevier

Page : 469 pages

File Size : 13,2 MB

Release : 2003-04-07

Category : Social Science

ISBN : 008050938X

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Book 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



Data Mining for Intelligence, Fraud & Criminal Detection

Author : Christopher Westphal

Publisher : CRC Press

Page : 450 pages

File Size : 30,35 MB

Release : 2008-12-22

Category : Computers

ISBN : 1420067249

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Book Description

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



Intelligent Data Analytics for Terror Threat Prediction

Author : Subhendu Kumar Pani

Publisher : John Wiley & Sons

Page : 352 pages

File Size : 24,93 MB

Release : 2021-02-09

Category : Computers

ISBN : 1119711096

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Book Description

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.



Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Author : Jesus Mena

Publisher : CRC Press

Page : 349 pages

File Size : 27,13 MB

Release : 2016-04-19

Category : Computers

ISBN : 143986070X

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Book Description

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



Cyberspace, Data Analytics, and Policing

Author : David Skillicorn

Publisher : CRC Press

Page : 274 pages

File Size : 27,34 MB

Release : 2021-11-18

Category : Business & Economics

ISBN : 1000465586

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Book Description

Cyberspace is changing the face of crime. For criminals it has become a place for rich collaboration and learning, not just within one country; and a place where new kinds of crimes can be carried out, and a vehicle for committing conventional crimes with unprecedented range, scale, and speed. Law enforcement faces a challenge in keeping up and dealing with this new environment. The news is not all bad – collecting and analyzing data about criminals and their activities can provide new levels of insight into what they are doing and how they are doing it. However, using data analytics requires a change of process and new skills that (so far) many law enforcement organizations have had difficulty leveraging. Cyberspace, Data Analytics, and Policing surveys the changes that cyberspace has brought to criminality and to policing with enough technical content to expose the issues and suggest ways in which law enforcement organizations can adapt. Key Features: Provides a non-technical but robust overview of how cyberspace enables new kinds of crime and changes existing crimes. Describes how criminals exploit the ability to communicate globally to learn, form groups, and acquire cybertools. Describes how law enforcement can use the ability to collect data and apply analytics to better protect society and to discover and prosecute criminals. Provides examples from open-source data of how hot spot and intelligence-led policing can benefit law enforcement. Describes how law enforcement can exploit the ability to communicate globally to collaborate in dealing with trans-national crime.



Crime and Intelligence Analysis

Author : Glenn Grana

Publisher : Routledge

Page : 352 pages

File Size : 41,2 MB

Release : 2021-04-08

Category : Social Science

ISBN : 1000370992

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Book Description

Crime and Intelligence Analysis: An Integrated Real-Time Approach, 2nd Edition, covers everything crime analysts and tactical analysts need to know to be successful. Providing an overview of the criminal justice system as well as the more fundamental areas of crime analysis, the book enables students and law enforcement personnel to gain a better understanding of criminal behavior, learn the basics of conducting temporal analysis of crime patterns, use spatial analysis to better understand crime, apply research methods to crime analysis, and more successfully evaluate data and information to help predict criminal offending and solve criminal cases. A new chapter provides expert advice about terrorist threats and threat assessment. Criminal justice and police academy students, as well as civilians, sworn officers, and administrators, can build the skills to be credible crime analysts who play a critical role in the daily operations of law enforcement.



Intelligence and Security Informatics

Author : Hsinchun Chen

Publisher : Springer

Page : 461 pages

File Size : 30,23 MB

Release : 2008-06-17

Category : Technology & Engineering

ISBN : 3540692096

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Book Description

The IEEE International Conference on Intelligence and Security Informatics (ISI) and Pacific Asia Workshop on Intelligence and Security Informatics (PAISI) conference series (http://www. isiconference. org) have drawn significant attention in the recent years. Intelligence and Security Informatics is concerned with the study of the dev- opment and use of advanced information technologies and systems for national, int- national, and societal security-related applications. The ISI conference series have brought together academic researchers, law enforcement and intelligence experts, - formation technology consultant and practitioners to discuss their research and pr- tice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, - ber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, information assurance, among others. In this book, we collect the work of the most active researchers in the area. Topics include data and text mining in terr- ism, information sharing, social network analysis, Web-based intelligence monitoring and analysis, crime data analysis, infrastructure protection, deception and intent det- tion and more. Scope and Organization The book is organized in four major areas. The first unit focuses on the terrorism - formatics and data mining. The second unit discusses the intelligence and crime analysis. The third unit covers access control, infrastructure protection, and privacy. The forth unit presents surveillance and emergency response.



Data Mining and Data Analysis for Counterterrorism

Author : Mary DeRosa

Publisher : Center for Strategic & International Studies

Page : 40 pages

File Size : 36,50 MB

Release : 2004

Category : Computers

ISBN :

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Book Description

Defeating terrorism requires a nimble intelligence apparatus that operates actively within the United States and makes use of advanced information technology. Data-mining and automated data-analysis techniques are powerful tools for intelligence and law enforcement officials fighting terrorism. But these tools also generate controversy and concern. They make analysis of data--including private data--easier and more powerful, and this can make private data more useful and attractive to the government. Data mining and data analysis are simply too valuable to prohibit, but they should not be embraced without guidelines and controls for their use. Policymakers must acquire an understanding of data-mining and automated data-analysis tools so that they can craft policy that encourages responsible use and sets parameters for that use. This report makes practical recommendation for such guidelines and controls.