Abstract: The association rules would be more real and useful when considering temporal constraint because time is the inherent factor of data.This paper proposes an algorithm for mining temporal association rules from the generalization viewpoints, and then introduces an example that usesitem’s lifespan as its time feather to demonstrate the process of mining temporal association rules.

摘要： 由于时间是数据本身固有的因素,因此在挖掘关联规则时附加上某种时态约束会使规则能更好地描述客观现实情况,因而也会更有价值。该文从概化的角度给出一个挖掘时态关联规则的算法,并用商品的生命周期作为时间特征为例,介绍了具体挖掘过程。

关键词: 时态约束, 关联规则, 支持度, 置信度

CLC Number: 

• TP311.13