摘要
结合智慧校园数据挖掘中产生的空间位置信息,提出了一种基于消错决策和离群偏离度计算校园中学生行为异常检测方法,实验表明该方法不仅可以快速的识别学生单一时间点的异常行为,还可以实现对学生全天行为轨迹的异常判断,便于学校更好地保障学生的安全.
In this paper,combined with the spatial position information of intelligent campus in data mining,a method for detecting the abnormal behavior of students in the intelligent campus is proposed,which based on the method of Error-Eliminating Decision-Making and Outlier deviation. Experiment shows that the method can quickly identify the abnormal behavior of the single time point of the students,and can also realize the abnormal judgment of the whole day behavior track,which is convenient for the school to ensure the safety of the students.
出处
《哈尔滨师范大学自然科学学报》
CAS
2017年第3期20-24,共5页
Natural Science Journal of Harbin Normal University
基金
国家自然科学基金项目(61202458
61403109)
哈尔滨市科技创新人才研究专项资金(2016RAQXJ036)
关键词
智慧校园
校园安全
消错决策
离群偏离度
Intelligent campus
Campus security
Error-eliminating decision-making
Outlier deviation
