带有效时间区间的模糊时态关联规则的挖掘

Discovery of Fuzzy Temporal Association Rules within Valid Time Intervals

随着市场竞争的日趋激烈和业务环境的不断变化,企业数据中的时间信息的管理问题受到人们普遍关注。时态数据挖掘成为数据挖掘研究的一个热点。考虑到用户的时态需求常常是非确定和非精确的,在采用模糊时态代数来表达时态需求的基础上,提出了一种带有效时间的模糊关联规则,并给出了一种基于FP-树的挖掘方法。最后用一个例子对该方法的执行过程进行解释。

With the increasing competitions among enterprises and continuous changes in business environment, temporal information management of business data has been an area of increasing interests attracting more and more attention. Considered uncertainties and imprecision in user＇ s temporal queries, an approach to discover temporal association rules within valid time intervals integrated with fuzzy temporal algebra is investigated. An algorithm based on FP-tree is devised for mining temporal association rules. At last, an example is given to demonstrate the mining process.