What are some good sources to learn fraud/anomaly detection in normal/time-series data?

Question

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.

Thanks

I have answered a very similar question here: http://datascience.stackexchange.com/a/5200/2452. My related answer on Cross Validated might also be helpful: http://stats.stackexchange.com/a/142725/31372. — Aleksandr Blekh, Apr 17 '15 at 23:29

score 4 · Answer 1 · answered Oct 14 '16 at 16:25

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Chandola et al's survey is probably the best and most-widely cited survey in the anomaly detection field.

answered Oct 14 '16 at 16:25

ximiki

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score 2 · Accepted Answer · answered Apr 18 '15 at 08:23

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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.

answered Apr 18 '15 at 08:23

Michael Hooreman

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You are welcome. Hoping this helps... – Michael Hooreman Apr 21 '15 at 07:54

What are some good sources to learn fraud/anomaly detection in normal/time-series data?

2 Answers2