Data mining involves analyzing large datasets to uncover patterns and relationships that can inform decision-making. In the context of catalysis, data mining helps researchers analyze experimental data, identify key variables affecting catalytic performance, and predict outcomes of untested reactions. It allows for the efficient optimization of catalysts and reaction conditions, reducing the need for costly and time-consuming experiments.
