A new algorithm was proposed to find association rules in interval-based sequences

which was based on the concept of interval time series and used the properties of frequent closed patterns. By the properties of frequent closed patterns

the algorithm can avoid generating the redundancy candidate sequences

thus decreases the time and space complexity and improves the efficiency of the algorithm.