IBM Watson Projects

Chapter 9 – Anomaly Detection in Banking With AI

Chapter 9 considered the process of anomaly detection from an IBM Watson Analytics perspective, walking through an example use case project relative to the banking industry, in which transactions were evaluated to identify potential fraudulent situations.

Key takeaways:

• In data mining, anomaly detection is defined as the identification of items, events, or observations which do not conform to an expected pattern in a dataset and are sometimes referred to as a rare event. These events raise suspicion and, typically, anomalous items will translate to some kind of problem that requires deeper attention and needs to be addressed.
• Anomaly detection is a technique or method used to identify unusual ...