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。

Aiming at the problem, this paper puts forward a new model of weighted association rules for solving the problem, and proposes an algorithm to discover all-weighted association rules.

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通过概念提升及删除无关维，由七维图像关联规则模型7d_ar可以演化出维数小于七维的各种关联则。

Through concept generalization and deleting irrelevant dimension, various association rules less than 7d can be evolved from the 7d image association rules model 7d_ar.

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首先，必须创建一个关联规则模型，该模型被存储为PMML，从中可以提取这些规则并将其放入一个数据库表以供日后的Cognos访问。

First, you must create an association rule model which is stored as PMML from which you can extract the rules into a database table for later Cognos access.

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