孤僻学生发现方法研究
Research on the Method of Finding out Unsociable Students
摘要: 本文目标是通过分析学生就餐数据寻找孤僻学生，关注学生心理健康。引入共现的概念，计算学生之间的共现次数和共现时间间隔，建立学生关系模型，量化学生间关系，计算学生关系矩阵，以关系矩阵值作为对象间的距离进行凝聚层次聚类，寻找孤立点，找到对应的孤僻学生。预测孤僻学生的查准率为66.67%，查全率为75%。
Abstract: The goal of this article is to find students who are unsociable by analyzing students’ dining data. The concept of co-occurrence is introduced to calculate the number of students' co-occurrence and the time interval of co-occurrence, quantify student-to-student relationships, calculate student-relationship matrix, and use relational matrix values as distances to perform agglomerative hierarchical clustering. The accuracy rate of the predicted unsociable students was 66.67%, and the recall rate was 75%.
文章引用：狄方标, 王勇. 孤僻学生发现方法研究[J]. 计算机科学与应用, 2018, 8(5): 637-648. https://doi.org/10.12677/CSA.2018.85072

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