Abstract

This article combines association analysis and visualization methods, mining relations and laws for car parts repair. Firstly, process the original data into data that can be used in the association analysis, then use apriori algorithm of association rules method for mining association relationships among car parts repair, geography, months and car models, and through the establishment of a network model to visualize the association rule results dynamically and visually. By this application, we can get the relationship between car parts repair and several important attributes, and use visual tools to show the results, helping give decision proposal of car parts inventory.

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