向量空间模型中完全加权关联规则的挖掘

Mining All-weighted Association Rules from Vector Space Model

项目加权关联规则挖掘是通过对具体项目赋予一定的权值来挖掘人们更加感兴趣的关联规则,其中具体项目的权值在数据库中是固定不变的。但现实数据库中,存在着所有项目权值会发生变化的问题。针对此类问题,文章提出新的加权关联规则模型,并提出了完全加权关联规则的挖掘算法。实验结果表明该算法是有效的。

Discovery of association rules with weighted items can find more interesting association rules,through giving the weight value for individual items.The weight value for individual items is fixed in database.However,the fact is that in real world database,the weight value for individual items is varied.Aiming at the problem,this paper put s forward a new model of weighted association rules for solving the problem,and proposes an algorithm to discover all-weighted association rules.The experiment shows that this algorithm is efficient.