Foreword by James D. Ratley, CFE, President and CEO, Association of Certified Fraud Examiners Beyond the basics—tools for applied fraud management In Exposing Fraud: Skills, Process, and Practicalities, anti-fraud expert Ian Ross provides both ideas and practical guidelines for applying sound techniques for fraud investigation and detection and related project management. The investigative principles in this book are truly universal and can be applied anywhere in the world to deal with any of the range of fraud types prevalent in today's business environments. Topics covered include cyber fraud, the psychology of fraud, data analysis techniques, and the role of corporate and international culture in criminal behavior, among many others. Ensure an optimal outcome to fraud investigations by mastering real-world skills, from interviewing and handling evidence to conducting criminal proceedings. As technologies and fraud techniques become more complex, fraud investigation must increase in complexity as well. However, this does not mean that time-tested strategies for detecting criminals have become obsolete. Instead, it means that a hands-on approach to fraud detection and management is needed more than ever. The book does just that: Takes a unique practical approach to the business of detecting, understanding, and dealing with fraud of all types Aids in the development of key skills, including conducting investigations and managing fraud risk Covers issues related to ethically and efficiently handling impulsive and systemic fraud, plus investigating criminals who may be running multiple scams Addresses fraud from a global perspective, considering cultural and psychological factors that influence fraudsters Unlike other fraud investigation books on the market, Exposing Fraud develops the ethical and legal foundation required to apply theory and advice in real-world settings. From the simple to the complex, this book demonstrates the most effective application of anti-fraud techniques.

FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Over the past two decades, the United States has successfully deregulated prices and restrictions on most previously-regulated industries, including airlines, trucking, railroads, telecommunications, and banking. Only a few industries remain regulated, the largest being the property-liability insurance business. In light of recent sweeping financial modernization legislation in other sectors of the insurance industry, this timely volume examines the basis for continued regulation of rates and forms of the U.S. property-liability insurance market. The book focuses on private passenger automobile insurance—the most important personal line of property-liability coverage, with annual premiums of about $120 billion. The authors analyze five state case studies: California, Massachusetts, and New Jersey—three of the most heavily regulated states—as well as Illinois, which has been deregulated for about 30 years, and South Carolina, which began to deregulate in 1997. The study also includes an econometric analysis based on all fifty states over a 25-year period that gauges the impact of regulation on insurance price levels, price volatility, and the proportion of automobiles insured in residual markets. The authors conclude that regulation does not significantly reduce long-run prices for consumers, and generally limits availability of coverage, reduces the quality and variety of services available in the market, inhibits productivity growth, and increases price volatility. Contributors include Dwight Jaffee (University of California, Berkeley), Thomas Russell (Santa Clara University ), Laureen Regan (Temple University), Sharon Tennyson (Cornell University), Mary Weiss (Temple University), John Worrall (Rutgers University), Stephen D'Arcy (University of Illinois, Urbana-Champaign), Martin Grace (Georgia State University), Robert Klein (Georgia State University), Richard Phillips (Georgia State University), Georges Dionne (University of Montreal), and Richard Butler (Brigham Young University).