One of the most intportant data mining problems is mining association rules. In this paper,we considered the problem of founding frequent cyclic association rules. By exploiting the relationship between cycles and large itemsets,we identified optimization techniques that allow us to minimize the unnecessary amount of work performed during the data mining process. Furthermore,we demonstrated the effectiveness of these methods through a series of experiments.
展开▼
