Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

V. Raina, S. KrishnamurthyBuilding an Effective Data Science Practicehttps://doi.org/10.1007/978-1-4842-7419-4_8

8. Anomaly Detection

Vineet Raina¹   and Srinath Krishnamurthy¹

(1)

Pune, India

 

Often, we tend to have an intrinsic notion of whether an observation is unexpected or abnormal. Sensors that seem to behave erratically or give readings that are rarely seen; an unheard-of combination of symptoms/test readings, or a rare pattern in a medical image such as a CT scan; and network traffic in an IT system that is unusual, these are a few cases that tend to raise attention. Detecting any abnormal occurrences in the data is referred to as anomaly detection. ...