Mining fuzzy temporal association rules
模糊时序关联规则挖掘

With the help of fuzzy calendar algebra and fuzzy operators, it is easy to describe desired temporal requirements. Time intervals may have different weights according to their membership functions. Integrated with the idea of progression and increment, an algorithm combined with incremental mining and progressive counting called BFCTAR was proposed to mine fuzzy temporal association rules based on fuzzy calendar algebra. Theoretic analysis and experimental results indicate that this algorithm is efficient and feasible.