Design of Intelligent Analysis System of Basketball Skilled Movement Based on Data Mining Technology

The collection of skilled movement data during basketball games is of great significance for the decisions in basketball competitions. Therefore, coaches and related staff use a variety of auxiliary tools to collect the data related to the basketball games to collect skilled movement and relevant data. However, it is difficult to obtain the data as it cannot be seen directly. This affects the effective use of basketball data and the formulation of a basketball game plan. In this context, we developed an intelligent analysis system for basketball-skilled movement based on data mining technology. We designed the framework of a real-time tracking and analysis system of basketball tactics, then analyzed the data pre-processing strategy, and proposed the design elements of an intelligent analysis system. We used the Apriori algorithm, clustering algorithm, and data mining algorithm based on the Markov process. The research results are effectively used to train athletes and help coaches make reasonable decisions in games.