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Fraud Analytics Using Descriptive Predic

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network;

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Fraud Analytics

The evolution of fraud analytics The analytical process Using ACL analytics in the face of Excel Fraud analytics versus predictive analytics;

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Fraud Data Analytics Methodology Fraud S

Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable;

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Using Analytics To Detect Possible Fraud

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud;

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Fraud and Fraud Detection

areas using computerized techniques * Develop a step-by-step plan for detecting fraud through data analytics * Utilize IDEA software to automate;

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Analytics in a Big Data World

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses;

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Statistics and Health Care Fraud

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

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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Forensic Analytics

Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and;

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Descriptive Data Mining

coverage of cluster analysis. Chapter 7 discusses link analysis. Models are demonstrated using business related data. The style of the book;

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Audit Analytics in the Financial Industry

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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Business Analytics, Volume II

This business analytics (BA) text discusses the models based on fact-based data to measure past busi;...

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Spreadsheet Modeling & Decision Analysis

analytics techniques using Microsoft (R) Office Excel (R) 2016. Author Cliff Ragsdale -- respected innovator in business analytics -- guides you;

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Even You Can Learn Statistics and Analytics

and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because;

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Spreadsheet Modeling and Decision Analysis

topics and valuable software provide everything you need to become proficient in today's most widely used business analytics techniques using the;

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Business Analytics

memorable visuals illustrate data and results for each topic. Step-by-step instructions guide you through using Microsoft (R) Excel, Tableau, R, and;

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Practical Business Analytics Using SAS

analytics practices using SAS. It consists of three sections: basic SAS features, advanced data manipulation functions in SAS, and practical;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful;

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A Practical Guide to Analytics for Governments

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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The The Applied SQL Data Analytics Workshop

getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of The Applied SQL Data;

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Enterprise Analytics

exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover;

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Predictive Data Mining Models

in classification, to include special variants support vector machines, random forests, and boosting. Models are demonstrated using business related data;

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Fraud Auditing Using CAATT

fraud related incidents, as well as step-by-step demonstrations of a number of common audit tests using IDEA (R) as a CAATT tool.;

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Analytics Revolution

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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Big Data Technologies and Applications

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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Computer Aided Fraud Prevention And Detection

Using software to detect improper transactions are techniques that have grown in importance for fraud examiners. This book provides fraud;

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Advanced Analytics with R and Tableau

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R About This Book * A;

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