August 2019
Intermediate to advanced
342 pages
9h 35m
English
The introduction of algorithmic procedures for fraud detection in the credit card sector represents an important test bench in the field of predictive analytics (as we will see shortly). Among the first examples of scientific research that were conducted in this field, we must mention Adaptive Machine Learning for Credit Card Fraud Detection by Andrea Dal Pozzolo available at https://dalpozz.github.io/static/pdf/Dalpozzolo2015PhD.pdf), one of the most thorough pieces of scientific research, which widely exposed how to effectively leverage ML algorithms in credit card fraud detection.
The choice and design of appropriate algorithms for credit card fraud detection are characterized by the following:
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