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Looking for less theory and more hands-on methods for finding and flinging fraud from your business? Packed with countless software options;
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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable;
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Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network;
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Detect fraud faster no matter how well hidden with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management;
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data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use;
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of applying Audit Analytics to solving audit problems. Part Two contains four studies that use various Audit Analytics techniques to discover fraud;
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Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world;
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Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world;
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Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud;
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programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can in fact, already does transform;
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This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings;
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Improve patient outcomes, lower costs, reduce fraud all with healthcare analytics Healthcare Analytics for Quality and Performance;
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across existing and new technologies, giving emphasis on food authenticity, traceability, food fraud, food quality, food contaminants, sensory;
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, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world;
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reroute passengers in real time. Banks constantly analyze account activity patterns to prevent and detect fraud. Users' social media and e;
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to be aware of. Better detection of fraud through visual analytics or better prediction of the likelihood of someone getting an infection;
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potential fraud-the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect;
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insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk;
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applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support;
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Learning concepts does not always prepare you for real-world application, and this is particularly true in fraud examination. Typically;
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and practitioners worldwide to highlight critical developments in the field. You examine recent advancements in supply chain fraud management;
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fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety;
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This book provides a step-by-step guide to detecting fraud and sets out the most effective counter-measures. Written for the non-specialist;
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Learn to identify, detect, investigate, and prevent financial fraud with the latest edition of FRAUD EXAMINATION, 4E. Study and understand;
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Providing a comprehensive framework for building an effective fraud prevention model, Fraud Risk Assessment: Building a Fraud Audit Program;
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Learn to identify, detect, investigate, and prevent financial fraud with the latest edition of FORENSIC ACCOUNTING, 4E, International;
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Learn to identify, detect, investigate and prevent financial fraud today with the latest edition of Albrecht/Albrecht/Albrecht/Zimbelman's;
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