Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.

In layman’s terms, anomaly detection aims to help detect events that are rare and/or are different from the norm. You can imagine why this is of importance to the finance industry. For example ...

Calibration for Anomaly Detection. ... For example, a model score of 0.1 would be moved to 0.15, and a score of 0.9 would be lowered to 0.85.

For example, in my 2013 book, Seeing What Others Don’t, ... Anomaly detection helps us to spot inconsistencies in our diagnosis of a problem, and therefore to escape from fixation.

In the anomaly detection example, the USPTO highlights considerations such as whether the invention improves the algorithm’s performance (e.g., enable it to get better at identifying malware ...