Real-time data mining refers to the process of analyzing data as it is generated, enabling immediate insights and decision-making. In catalysis, this can involve the use of sensors, advanced analytical techniques, and machine learning algorithms to monitor reaction conditions, detect anomalies, and predict optimal reaction parameters.