Application of Decision Tree Algorithm in Table Tennis Competition

With the continuous development of information technology and the continuous expansion of data scale in various industries, data mining technology is becoming more and more mature and developing in the direction of field application. Data mining is a technology to extract non trivial, secret, unknown value and potential information from large-scale data. With the continuous development of sports informatization, a large number of data have been accumulated in the field of sports. The application of data mining in the field of sports, especially in the data analysis of antagonistic competitive sports, will become a trend. The application of decision tree algorithm in table tennis competition is to predict the best player in each position, and then select the best player in each position. The main purpose of this method is to determine who can win the game by predicting the performance of players, not only at the beginning of the game, but also in the whole process of the game. This method can also be used in many other sports.