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Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119133122
Category : Computers
Languages : en
Pages : 406
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Book Description
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.
Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119133122
Category : Computers
Languages : en
Pages : 406
Get Book
Book Description
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.
Author: David Coderre
Publisher: John Wiley & Sons
ISBN: 0470451610
Category : Business & Economics
Languages : en
Pages : 374
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Book Description
Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates
Author: Stephen Pedneault
Publisher: John Wiley & Sons
ISBN: 047048196X
Category : Business & Economics
Languages : en
Pages : 262
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Book Description
A straightforward guide explaining the nature of financial fraud Fraud continues to be one of the fastest growing and most costly crimes in the United States and around the world. The more an organization can learn about fraud in general and the potential fraud risks that threaten the financial stability of the organization's cash flow, the better that organization will be equipped to design and implement measures to prevent schemes from occurring in the first place. Fraud 101, Third Edition serves as an enlightening tool for you, whether you are a business owner or manager, an accountant, auditor or college student who needs to learn about the nature of fraud. In this invaluable guide, you will discover and better understand the inner workings of numerous financial schemes and internal controls to increase your awareness and possibly prevent fraud from destroying your organization's financial stability. It offers guidance, understanding, and new, real-world case studies on the major types of fraud, including An understanding of why fraud is committed An overview of financial fraud schemes White-collar crime Uncovering employee embezzlements Establishing internal fraud controls The nature of collecting evidence With case studies included throughout the book to gain insight to the real world of fraud, Fraud 101, Third Edition describes the features of fraud and then provides proven methods of prevention, as well as solutions to expose different types of fraud.
Author: David A. Montague
Publisher: Trafford Publishing
ISBN: 1412014603
Category : Business & Economics
Languages : en
Pages : 218
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Book Description
Fraud is nothing new to the merchant. Since the beginning of time, man has always looked for the opportunity to defraud others - to gain goods or services without making payment. For the credit card industry, fraud is a part of doing business, and is something that is always a challenge. The merchants that are the best at preventing fraud are the ones that can adapt to change quickly. This book is written to provide information about how to prevent credit card fraud in the card-not-present space (mail order, telephone order, e-commerce). This book is meant to be an introduction to combating fraud, providing the basic concepts around credit card payment, the ways fraud is perpetrated, along with write ups that define and provide best practices on the use of 32 fraud-prevention techniques. 32 Detailed Fraud Prevention Techniques How to catch the Chameleon on the web Top 10 rules to prevent credit card fraud Understand common fraud schemes The one Fraud Prevention Technique no merchant can afford not to do Details on over 40 Vendors that sell fraud prevention tools and services, along with how to build it in-house Learn the anatomy of a Fraud Prevention Strategy
Author: David A. Montague
Publisher:
ISBN: 1412218160
Category : Business & Economics
Languages : en
Pages :
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Book Description
Fraud is nothing new to the merchant. Since the beginning of time, man has always looked for the opportunity to defraud others - to gain goods or services without making payment. For the credit card industry, fraud is a part of doing business, and is something that is always a challenge. The merchants that are the best at preventing fraud are the ones that can adapt to change quickly. This book is written to provide information about how to prevent credit card fraud in the card-not-present space (mail order, telephone order, e-commerce). This book is meant to be an introduction to combating fraud, providing the basic concepts around credit card payment, the ways fraud is perpetrated, along with write ups that define and provide best practices on the use of 32 fraud-prevention techniques. 32 Detailed Fraud Prevention Techniques How to catch the Chameleon on the web Top 10 rules to prevent credit card fraud Understand common fraud schemes The one Fraud Prevention Technique no merchant can afford not to do Details on over 40 Vendors that sell fraud prevention tools and services, along with how to build it in-house Learn the anatomy of a Fraud Prevention Strategy
Author: Sunder Gee
Publisher: John Wiley & Sons
ISBN: 1118779657
Category : Business & Economics
Languages : en
Pages : 358
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Book Description
Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.
Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119146828
Category : Computers
Languages : en
Pages : 400
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Book Description
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.
Author: David A. Montague
Publisher: John Wiley & Sons
ISBN: 0470915145
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
Essential guidance for preventing fraud in the card-not-present (CNP) space This book focuses on the prevention of fraud for the card-not-present transaction. The payment process, fraud schemes, and fraud techniques will all focus on these types of transactions ahead. Reveals the top 45 fraud prevention techniques Uniquely focuses on eCommerce fraud essentials Provides the basic concepts around CNP payments and the ways fraud is perpetrated If you do business online, you know fraud is a part of doing business. Essentials of On-line Payment Security and Fraud Prevention equips you to prevent fraud in the CNP space.
Author: Joseph R. Petrucelli
Publisher: John Wiley & Sons
ISBN: 1118103149
Category : Business & Economics
Languages : en
Pages : 390
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Book Description
A savvy examination of where people and value meet, creating the opportunity for fraud An essential reference for all business professionals, Detecting Fraud in Organizations: Techniques, Tools, and Resources explains the process of how people commit fraud, as well as how to prevent and stop fraud from occurring in your organization. Organized by business processes which succinctly describe how fraud manifests itself on a daily basis, the authors explain ways in which everyone can help guard against fraud by familiarizing themselves with its building blocks and methods used to perpetrate and conceal it. Filled with situational examples the book is accompanied by a website featuring fraud simulations, business process maps, and other useful tools for combating fraud. Focuses on the people who perpetrate fraud and those who are tasked with preventing and detecting it Uniquely organized by business processes for more relevance and easier understanding by those people working within organizations Shows how subtle factors play a large role in identifying and ferreting out fraud in addition to the traditional knowledge of fraud schemes giving people and organizations the edge they need to be successful in prevention and deterrence Companion website includes additional fraud simulations, business process maps, and useful tools The price of fraud can be devastating to your business. Detecting Fraud in Organizations: Techniques, Tools, and Resources equips you and others in your organization with essential information and tools necessary to proactively catch fraud, reduce losses, improve efficiencies and develop actionable controls.
Author: Xingquan Zhu
Publisher: Springer
ISBN: 3319567934
Category : Computers
Languages : en
Pages : 54
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Book Description
The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.
