Recurring Pattern Mining

Recurring patterns refer to patterns within a dataset that demonstrate periodic behavior occurring only at specific time intervals within a series. The goal of recurring pattern mining is to discover meaningful and potentially predictive patterns that can provide insights into the underlying behavior of the time series data

Applications: Anomaly Detection, Predictive Maintenance, Financial Forecasting.

• Basic