Recurrence refers to the concept of events or patterns repeating or happening again over time in a specific context or system. In research, recurrence analysis involves studying the occurrence of events or patterns within a given dataset to identify any repetitive trends or behaviors. This can be applied in various fields such as biology, meteorology, finance, and physics to understand the underlying mechanisms and predict future occurrences. Recurrence analysis techniques often involve time series analysis, data mining, and statistical modeling to detect and analyze recurrent patterns in the data.