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 DetectionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
About the Authors
Professor Bart Baesens is a professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data and analytics, fraud detection, customer relationship management, web analytics, and credit risk management. His findings have been published in well-known international journals (e.g., Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research) and presented at international top conferences. He is also author of the books Credit Risk Management: Basic Concepts (http://goo.gl/T6FNOn), published by Oxford University Press in 2008; Analytics in a Big Data World (http://goo.gl/k3kBrB), published by John Wiley & Sons in 2014, and Beginning Java Programming: The Object-Oriented Approach (http://goo.gl/qHXmk1), published by John Wiley & Sons in 2015. His research is summarized at www.dataminingapps.com. He also regularly tutors, advises, and provides consulting support to international firms with respect to their big data and analytics strategy.
Véronique Van Vlasselaer graduated magna cum laude as master information systems engineer at the faculty of business and economics, KU Leuven (Belgium). For her master's thesis topic, “Mining Data on Twitter,” she received the best thesis award from the faculty's student branch. In 2012, Véronique started as ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.