Abstract
As a confrontational-main sport, with the increase of social and political problems, there are more and more technical fouls in competitions of basketball. The hot problem we must to solve is the control of the stadium information, the analysis of basketball player's technical fouls and the implement of targeted management. Firstly, this paper introduces the status and applications of visual data mining technique based on parallel coordinates briefly. Then, it analyzes the advantage of this method which has been used in basketball player's technical fouls based on mathematical modeling thinking. Then, it establishes the optimized data mining model of basketball player's technical fouls based on visualization of parallel coordinate method which provide theoretical basis and new ideas for the research and practice of this field.
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