Data mining is the process of discovering patterns and knowledge from large amounts of data. In the context of epidemiology, data mining helps in identifying patterns and relationships within health data that can lead to new insights into disease outbreaks, risk factors, and health outcomes. It involves the use of statistical, machine learning, and computational techniques to analyze big datasets.