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

Z. Chunsheng, Li Yan
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引用次数: 2

Abstract

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.
基于自然语言的Apriori关联规则可视化挖掘方法
可视化数据挖掘技术能够将数据挖掘的过程和结果以图形化的方式展示给用户,使用户更容易理解挖掘过程和结果的含义,在数据挖掘中具有十分重要的意义。然而,目前大多数可视化数据挖掘都是在可视化的基础上进行的。同时,对关联规则的可视化处理不适合图形化显示。针对上述不足,本文采用自然语言处理方法,将Apriori关联规则的整个挖掘过程可视化地在自然语言下进行,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,具有更感性、更易于理解的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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