Using Association Rule Technique in Data Mining to Explore the Effect between College Entrance Test and the Academic Achievement-- A Case Study for Department of Information Management

• Main Authors: Yu-ko Wen, 溫侑柯
• Other Authors: Guang-ming Wu
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/09380138809606683225

碩士 === 南華大學 === 資訊管理學研究所 === 94 === 　　The aim of this research is to explore the correlation between College Entrance Test and the Academic Achievement in Nan-Hua University(NHU). The research is based on the students’ performance from 1999 to 2001. Using Association Rule Technique in Data Mining is analyzes the data.The research shows that The English matriculation result is good , so is better in other subjects;〝Historical matriculation result good〞nearly all of the subject is very bad in study;〝Historical matriculation result difference〞 nearly is all good in study. Why made this difference? The first reason is the most textbooks are used in universities are English version; the other reason is they had the same score when they entered the school. The students who have better Chinese and English scores have poor. History scores, however and versus. 　 　　Therefore, Schools or Departments may refer to the method and the result of this research to find the matriculation standard, cautiously elect the students, and achieve the characteristic and the goal.