COLLEGE TEACHERS SUBHEALTH DECISION ANALYZING BY USING IMPROVED ASSOCIATION RULES

摘要：

With the high development of science and technology, the progresses of society, the increasing pressure of modern work, the trend of peoples health states is dropping gradually. The number of people in subhealthy state is enlarging day by day. Many researchers have done a lot of researches on the constitution health data of college teachers by traditional math analyzing method. Some superficial information is obtained easily though traditional query operation from constitution data, but deep level information that hides in the constitution data is difficult to be discovered. Based on it, an improved association algorithm is proposed and applied in constitution health data analyzing. The results manifest that the algorithm is effective in constitution health data analyzing.

关键词： Constitution data Subhealthy Data Mining Aprior

作者: FENG-ZHEN QIN

作者单位: Department of Physical Education, Central China Normal University, Wuhan Hubei 430079, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3540-3544

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）