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The visual mining method of Apriori association rule based on natural language

机译:基于自然语言的Apriori关联规则的可视挖掘方法

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Visual data mining techniques can display the process of data mining and results to the user graphically, which makes the user more perceptual and easy to understand the meaning of the mining process and its results and moreover it is very important in data mining. However, most of the visual data mining now is progressed with the result of visualization. At the same time, it is not suitable for the graphical display to the visualization processing of the association rule. In view of the above shortcomings, in this paper, the whole mining process of Apriori association rule is visually conducted under the natural language by the way of the natural language processing method, including data preprocessing, mining process and the visualization display of mining results which provides an integrate set of schemes for the user with characteristics of being more perceptual and more easy to understand.
机译:可视数据挖掘技术可以将数据挖掘的过程和结果以图形方式显示给用户,这使用户更直观,更容易理解挖掘过程及其结果的含义,并且在数据挖掘中非常重要。但是,现在大多数可视化数据挖掘都是通过可视化的结果来进行的。同时,它不适合图形显示到关联规则的可视化处理。鉴于上述缺点,本文通过自然语言处理方法,在自然语言下可视化地进行了Apriori关联规则的整个挖掘过程,包括数据预处理,挖掘过程和挖掘结果的可视化显示。为用户提供了一套完整的方案,具有更具感知性和更易于理解的特征。

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