An understandable mode is extracted from the numerous data acquired about stope stability utilizing data mining technology. As a result, new knowledge may be discovered through an effectively understanding of the dynamic varying rules of the stope stability. Therefore, based on the field data obtained, stope stability can be forecasted. A case study presented in the paper shows that data mining offers a very effective solution to analysis and forecasting of stope stability.