Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series)
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series)

by Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke

Business Technology Data Science
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques offers a data science guide to fraud detection. Bart Baesens, Veronique Van Vlasselaer, and Wouter Verbeke explore descriptive, predictive, and social network techniques in a business-focused reference for understanding fraud analytics.

About This Book

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques presents a data science approach to fraud detection.

The book focuses on descriptive, predictive, and social network techniques, bringing these methods together within a practical analytics context.

Written by Bart Baesens, Veronique Van Vlasselaer, and Wouter Verbeke, it is part of the Wiley and SAS Business Series.

It is intended for readers seeking an introduction to analytical methods used in fraud detection and business decision-making.

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I will be using this book for: