一类具有时态约束的关联规则的知识发现问题

Knowledge Discovery for An Associated Rules of Temporal Constraint

本文探讨了一类具有时态约束的关联规则的有关问题。首先,我们引入了时态型的定义以及相关的概念。接下来,我们给出了一种时态事件模型,用以描述基于时态型的不同属性的各种状态的事件,也定义了一类具有时态约束的关联规则,它能在诸如股票波动、天气预报、商品销售等领域提供短期的预测和决策。最后,我们给出了发现具有时态约束的关联规则算法的主要步骤。

This paper discusses associated rules based on temporal constraint. First,we introduce a definition of temporal type and the interrelate conception. Then, we define a type of temporal event describing various states of events based on the different attributes with the temporal type and define associated rules of temporal constraint,which can provide the prediction and decision in the shorter time for fields such as stock fluctuation, weather forecast, commodity sale and so on. Finally, we give the main idea of an algorithm to discover the periodic temporal associated rules. Meanwhile, the analysis of experiment with the data mining of stocks is given.