August 2015
Beginner to intermediate
400 pages
9h 17m
English
book
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
by Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke
Content preview from Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
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Acknowledgments
It is a great pleasure to acknowledge the contributions and assistance of various colleagues, friends, and fellow analytics lovers to the writing of this book. This book is the result of many years of research and teaching in analytics, risk management, and fraud. We first would like to thank our publisher, John Wiley & Sons, for accepting our book proposal less than one year ago.
We are grateful to the active and lively analytics and fraud detection community for providing various user fora, blogs, online lectures, and tutorials, which proved very helpful.
We would also like to acknowledge the direct and indirect contributions of the many colleagues, fellow professors, students, researchers, and friends with whom we collaborated during the past years.
Last but not least, we are grateful to our partners, parents, and families for their love, support, and encouragement.
We have tried to make this book as complete, accurate, and enjoyable as possible. Of course, what really matters is what you, the reader, think of it. Please let us know your views by getting in touch. The authors welcome all feedback and comments—so do not hesitate to let us know your thoughts!
Bart BaesensVéronique Van VlasselaerWouter VerbekeAugust 2015
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.