I would like to know more on fraud/anomaly detection. I am looking for good source or survey article/book etc out there which will give me some preliminary idea of the area.
Any suggestion is greatly appreciated.
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Usually this is done as outliers analysis (fraud is an outlier vs normal usage). For this aspect, you can find more info in the data mining: concepts and techniques book, even if general purpose book.
I am convinced that learning this kind of basis is needed to understanding the domain specific methods.
Chandola et al's survey is probably the best and most-widely cited survey in the anomaly detection field.