Mining association rule oriented data cube and its application

Hong Shi, Ji-Fu Zhang, Lian Zheng
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引用次数: 7

Abstract

The data warehouses oriented data mining is one of the hot studies in the data mining field, which can improve the mining efficiency, and simplify the mining process. At present some effective platforms for mining have been proposed, but those are versatile and are not aimed at the characteristic of a particular mining task, and thus restrict the mining efficiency. For the question of mining association rules, we present a model of a mining association rule oriented data cube through analyzing the characteristic of the mining association rule and OLAP. The model has been proved correct and feasible by analyzing an application example.
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面向关联规则的数据立方体挖掘及其应用
面向数据仓库的数据挖掘是数据挖掘领域的研究热点之一,它可以提高挖掘效率,简化挖掘过程。目前已经提出了一些有效的采矿平台,但这些平台都是通用的,没有针对特定采矿任务的特点,从而限制了采矿效率。针对关联规则挖掘问题,通过分析挖掘关联规则和OLAP的特点,提出了面向挖掘关联规则的数据立方体模型。通过应用实例分析,证明了该模型的正确性和可行性。
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