Download or read book Data Mining for Intelligence Fraud Criminal Detection written by Christopher Westphal and published by CRC Press. This book was released on 2008-12-22 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Data Mining for Intelligence Fraud Criminal Detection written by Christopher Ralph Westphal and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Investigative Data Mining for Security and Criminal Detection written by Jesus Mena and published by Elsevier. This book was released on 2003-04-07 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Machine Learning Forensics for Law Enforcement Security and Intelligence written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Data Mining written by United States. General Accounting Office and published by . This book was released on 2004 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Encyclopedia of Organizational Knowledge Administration and Technology written by Khosrow-Pour D.B.A., Mehdi and published by IGI Global. This book was released on 2020-09-29 with total page 2734 pages. Available in PDF, EPUB and Kindle. Book excerpt: For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.

Download or read book Data Mining Tools for Malware Detection written by Mehedy Masud and published by CRC Press. This book was released on 2016-04-19 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d

Download or read book Investigative Data Mining for Security and Criminal Detection written by Jesus Mena and published by Butterworth-Heinemann. This book was released on 2003 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Download or read book Data Mining written by United States. General Accounting Office and published by . This book was released on 2004 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Research on Theory and Practice of Financial Crimes written by Rafay, Abdul and published by IGI Global. This book was released on 2021-03-18 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Black money and financial crime are emerging global phenomena. During the last few decades, corrupt financial practices were increasingly being monitored in many countries around the globe. Among a large number of problems is a lack of general awareness about all these issues among various stakeholders including researchers and practitioners. The Handbook of Research on Theory and Practice of Financial Crimes is a critical scholarly research publication that provides comprehensive research on all aspects of black money and financial crime in individual, organizational, and societal experiences. The book further examines the implications of white-collar crime and practices to enhance forensic audits on financial fraud and the effects on tax enforcement. Featuring a wide range of topics such as ethical leadership, cybercrime, and blockchain, this book is ideal for policymakers, academicians, business professionals, managers, IT specialists, researchers, and students.

Download or read book Data mining federal efforts cover a wide range of uses written by and published by DIANE Publishing. This book was released on 2004 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence written by Trivedi, Shrawan Kumar and published by IGI Global. This book was released on 2017-02-14 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Download or read book Fraud Analytics Using Descriptive Predictive and Social Network Techniques written by Bart Baesens and published by John Wiley & Sons. This book was released on 2015-07-27 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

Download or read book Open Source Intelligence and Cyber Crime written by Mohammad A. Tayebi and published by Springer Nature. This book was released on 2020-07-31 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected. Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats. Chapters contain state-of-the-art social media analytics and open source intelligence research trends. This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics. Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Download or read book Intelligent Data Analytics for Terror Threat Prediction written by Subhendu Kumar Pani and published by John Wiley & Sons. This book was released on 2021-01-12 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data mining techniques in financial fraud detection written by Rohan Ahmed and published by GRIN Verlag. This book was released on 2018-05-24 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2016 in the subject Computer Science - General, grade: 1.7, Heilbronn University, language: English, abstract: In this seminar thesis you will get a view about the Data Mining techniques in financial fraud detection. Financial Fraud is taking a big issue in economical problem, which is still growing. So there is a big interest to detect fraud, but by large amounts of data, this is difficult. Therefore, many data mining techniques are repeatedly used to detect frauds in fraudulent activities. Majority of fraud area are Insurance, Banking, Health and Financial Statement Fraud. The most widely used data mining techniques are Support Vector Machines (SVM), Decision Trees (DT), Logistic Regression (LR), Naives Bayes, Bayesian Belief Network, Classification and Regression Tree (CART) etc. These techniques existed for many years and are used repeatedly to develop a fraud detection system or for analyze frauds.

Download or read book Advanced Visual Interfaces Supporting Artificial Intelligence and Big Data Applications written by Thoralf Reis and published by Springer Nature. This book was released on 2021-02-02 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.