Application Of Data Acquisition And Analysis And Mining In Basketball

In today’s basketball games, most coaches use paper data and game videos tohelp them recoding and analyzing the game data and analyzing the techniques andtactics which is lack of standardization and graphical of the data analyses and deeplymining of game data. It is obviously that analyzing the future opponent or changingtechniques and tactics just according by basic game data and coach’s experimentwon’t meet the basic demand. In our country, the real-time statistics and data miningon basketball has just begun its first step, there is seldom commercial basketballstatistics software or example resources. Moreover, they have the disadvantage ofdifficult entry; complicated operation; mismatch the game tempo and failing to doreal-time statistics and data mining. Nowadays, the most famous basketball statisticsoftware is “Basketball” developed by CyberSports, which can record game data,position of shoot and do real-time analyze. However, this software is designed to meetthe westerners’ culture atmosphere and operation habits. This paper will introduceimitation software that fits for our country. It can not only rapidly entry all events,view statistics data during the game, it also can mining the data, providing hidden datafrom the game, which help users make summarize and predict what statistic should betaken and help use the best player combination to deal with different condition.The data mining module of this software will take association rules to computethe best player combination, events go with gained/loss, so that the coaches mayknow the relationship between behaviors and score. This will make them know tointerrupt the attack chain and relativity among all events.