Association rule visualization system and method based on dynamic parallel coordinate

A dynamic parallel, parallel coordinate technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as interface disorder and insufficient use of graphics and image expression capabilities.

Active Publication Date: 2015-07-01
南京东禾自动化工程有限公司
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Problems solved by technology

However, visualization techniques based on tables and two-dimensional matrices do not make full use of the expressive capabilities of graphics and images, and when visualizing the rules of many-to-one or many-to-many relationships, the limitations are obvious; visualization techniques based on directed graphs Although the above problems are solved to a certain extent, it is easy to cause interface disorder when displaying a large number of rules

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  • Association rule visualization system and method based on dynamic parallel coordinate
  • Association rule visualization system and method based on dynamic parallel coordinate
  • Association rule visualization system and method based on dynamic parallel coordinate

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Embodiment Construction

[0024] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0025] The association rule visualization system based on dynamic parallel coordinates provided by the present invention, such as figure 1 As shown, it includes a logic processing unit, a data conversion unit, and a visualization result generation unit. The logical processing unit encapsulates the data loading component, data preprocessing component, and association rule mining component based on R language; the data loading component loads the data set to be mined into the user space and saves it in the form of a data frame; the data preprocessing component will The data set loaded by the data loading component is converted into the data format supported by the association rule mining model, that is, each attribute of the loaded data set is converted into a factor; the association rule mining component combines the characteristics of the data set ...

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Abstract

The invention discloses an association rule visualization system and an association rule visualization method based on a dynamic parallel coordinate. The method comprises the steps of completing association rule excavation work according to an R language, realizing the visualization of an excavation result by virtue of relevant JQuery techniques, and dynamically and partially displaying a generated parallel coordinate diagram according to given constraint conditions to effectively solve problems in the prior art. According to the method provided by the invention, the parallel coordinate can be realized by virtue of a JQuery technique, and the interested associate results can be filtrated and displayed by a user according to the interaction with graphs, therefore the dynamic and interactive visualization can be realized.

Description

technical field [0001] The invention relates to an association rule visualization system and method based on dynamic parallel coordinates, belonging to the technical field of data mining. Background technique [0002] Association rule mining refers to the discovery of interesting associations or correlations between item sets in a large amount of data by certain means. It is an important topic in data mining. A typical example of association rule mining is shopping basket analysis. Association rule research helps to discover the connection between different commodity items in the transaction database, and find out the customer purchase behavior pattern, such as the impact of purchasing a certain commodity on the purchase of other commodities. The analysis results can be applied to commodity shelf layout and inventory arrangement Wait. [0003] Association rule mining algorithms often produce a large number of rules, which makes it very difficult for users to analyze and uti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 范仕良张雪洁叶枫骆融臻
Owner 南京东禾自动化工程有限公司
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