时态数据挖掘的探讨

Research on the Temporal Data Mining

数据挖掘是指从大型数据库或数据集的数据中提取人们感兴趣的知识。在现实世界中,信息系统往往涉及到时态数据。本文试图将数据挖掘和时态数据相结合来讨论时态数据挖掘的有关问题。首先简要讨论时间表达式的描述;然后提出有关时态模式和时态关联规则的若干定义;最后讨论时态数据挖掘语言(TDML)的描述并给出一个实例。

Data mining is extraction of interesting knowledge from data in large databases or data set. In the real world, information systems are often concerned with temporal data. This paper discusses some problems of temporal data mining that combine data mining with temporal data. In this paper, the description of time expressions, the definition of temporal patterns and temporal association rules, and the description of the temporal data mining language(TDML) are presented.