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Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behaviour. This is also known as outlier detection.

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

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. …
Michael Hooreman's user avatar