Mining fuzzy temporal association rules
- 信息技术－已发表论文 
借助模糊概念和模糊运算,对时间区间的描述很容易实现。对于指定的日历模式,不同的时间区间可根据它们的隶属度具有不同的权重。在模糊日历代数基础上,结合增量挖掘和累进计数的思想,提出了一种基于模糊日历的模糊时序关联规则挖掘方法。理论分析和实验结果均表明,该算法是高效可行的。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.