CAJ | 학술논문

本研究用关联规则挖掘方法对造成学生伤害的时间分布、影响因素及其关联关系进行研究，寻找预防高校学生意外伤亡的科学管理方法，不被突发性、不可预测性所蒙蔽，克服安全工作的盲目性和不作为。根据一线工作者多年积累整理出的制约学生伤害的42个因素设计问卷，采集到有效样本7243份。运用关联规则方法对采集数据进行研究，经过对包含125项的学生伤害数据（理论上将产生2125^≈3＊1037^个候选频繁项）进行完整性修正、不完整数据清理、不一致数据清洗、数据归并、转化为布尔型数据等预处理和数据挖掘。获得了学生意外伤害的大量涉及时间因素的关联规则，其中时段伤害关联规则64431条，月份伤害关联规则64662条。发现大学生意外伤害的发生带有明显的时间特征，呈现一定的规律。
본연구용관련규칙알굴방법대조성학생상해적시간분포、영향인소급기관련관계진행연구，심조예방고교학생의외상망적과학관리방법，불피돌발성、불가예측성소몽폐，극복안전공작적맹목성화불작위。근거일선공작자다년적루정리출적제약학생상해적42개인소설계문권，채집도유효양본7243빈。운용관련규칙방법대채집수거진행연구，경과대포함125항적학생상해수거（이론상장산생2125^≈3＊1037^개후선빈번항）진행완정성수정、불완정수거청리、불일치수거청세、수거귀병、전화위포이형수거등예처리화수거알굴。획득료학생의외상해적대량섭급시간인소적관련규칙，기중시단상해관련규칙64431조，월빈상해관련규칙64662조。발현대학생의외상해적발생대유명현적시간특정，정현일정적규률。
This research uses the mining of association rules to analyze the temporal features, influ- encing factors and correlations in connection with Chinese college-student accidental causalities, to find out the scientific methods for preventing such causalities and avoid blindness or delay in case of e- mergencies. The questionnaire survey which covers 42 major factors related to such causalities gets 7, 243 responses. It uses association rules to analyze the 125 items in the data （theoretically there would be 2125≈3 ＊ 1037 candidate frequent item-sets） with the help of proper data mining and data process- ing as well as measures of pretreatment. It concludes that these casualties have a clear frequency rate and a kind of law in terms of time, that is, a temporal code in connection with Chinese college-student accidental causalities.