Abstract: Association rules mining is very important in the application of data mining. At present, single-dimensional asso-ciation rules result have been matured, but the prominent combinatorial explosion problem of multi-dimensional asso-ciation rules have not been solved perfectly so far. A method of mining multi-dimensional association rules was proposed based on artificial immune algorithm. This algorithm makes use of the immune memory characters, stores the asso-ciation rules in memory, and has faster speed of mining multi dimensional association rules. The results show that this algorithm which is applied to coal and gas outburst prediction has better robustness, and can be more quickly and efficicntly searched in the whole global. This algorithm has the feasibility and effectiveness in multi-dimensional rules mimng.

Key words: Data mining, Artificial immune, Multi-dimensional association rules, Immune algorithm