【摘要】 基于实际数据分析的管理和决策能够弥补简单主观经验主义的缺陷,该方法在高校学生安全工作的管理中越来越得到重视.笔者运用关联规则对收集的学生伤害数据进行研究,提出了"大学生伤害频繁项挖掘"等算法,并进行数据挖掘,获得了大量的关联规则及多个影响因素之间内在联系.同时发现关联规则数对可信度的变化比较敏感,多线程运行对提高程序效率非常有效.更多还原

【Abstract】 The data- based management and policy- making can avoid the weaknesses resulting from empiricism and subjectivism,and have got more and more attention in the work concerning Chinese college students’ safety.This research uses association rules to analyze the data of Chinese college students’ casualties and proposes a relevant frequent pattern mining algorithm. The data mining reveals a large number of association rules and the internal relations among several relevant factors. It concludes that the number of association rules is relatively sensitive to the changes in credibility while a multithreaded process is quite effective in improving the program concerned.更多还原