CAJ | 학술논문

提出一种退役运动员易患伤病挖掘分析模型，采用自组织数据挖掘方法对退役运动员身体机能变量在各个阶段的状态进行筛选，通过限制规范挖掘方法分析最佳伤病复杂度模型，将标准偏差高于易患伤病限制规范的运动员身体机能数据看成易患伤病数据，快速判断出全部的易患伤病数据，完成对退役运动员易患伤病的高速挖掘分析。实验数据结果说明，该种方法的挖掘效率和精度较高，并且具有较强的抗干扰性，取得了令人满意的效果。
제출일충퇴역운동원역환상병알굴분석모형，채용자조직수거알굴방법대퇴역운동원신체궤능변량재각개계단적상태진행사선，통과한제규범알굴방법분석최가상병복잡도모형，장표준편차고우역환상병한제규범적운동원신체궤능수거간성역환상병수거，쾌속판단출전부적역환상병수거，완성대퇴역운동원역환상병적고속알굴분석。실험수거결과설명，해충방법적알굴효솔화정도교고，병차구유교강적항간우성，취득료령인만의적효과。
Put forward a kind of retired athletes was susceptible to injury mining analysis model, the self-organizing data mining method of retired athletes body function variables filtered in various stages of the state, by limiting the specifica-tion mining methods to analyze the best injury model complexity, limit the standard deviation is higher than susceptible to injury specification athletes body function data as susceptible to injuries, quickly determine all of the susceptible to injury data, complete high-speed excavation analysis of the retired athletes was susceptible to injury. The result of exper-imental data shows that the approach of the mining efficiency and high precision, and has strong anti-interference, satis-factory results have been achieved.