How Long to Read Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

How Long Does it Take to Read Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques?

It takes the average reader 6 hours and 40 minutes to read Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens

Assuming a reading speed of 250 words per minute. Learn more

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.

How long is Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques?

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens is 400 pages long, and a total of 100,000 words.

This makes it 135% the length of the average book. It also has 122% more words than the average book.

How Long Does it Take to Read Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 6 minutes to read Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques aloud.

What Reading Level is Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques?

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques?

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques by Bart Baesens is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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