Temporal data mining

Temporal data mining is the process of analyzing time-related data to uncover patterns, trends, and insights. It focuses on understanding how events change over time, such as customer behavior, sales trends, or social media activity. By examining sequences of events, researchers can predict future occurrences or identify significant changes. For example, a retailer might analyze shopping patterns over the years to adjust marketing strategies. Overall, temporal data mining helps organizations make informed decisions based on how things evolve chronologically.