计算机技术与发展Issue(11)：199-202,212,5.DOI:10.3969/j.issn.1673-629X.2013.11.049
量化关联规则在高校就业信息数据中的应用
Application of Quantitative Association Rules in College Employment Information Data
摘要
Abstract
In view of the phenomenon such as a lot of quantitative attributes and categorical attributes among the employment information data,proposed an algorithm for mining quantitative association rules based on k-means. This method uses k-means clustering algorithm to partition the quantitative attributes reasonably and convert quantitative attributes to Boolean type;use the improved Boolean association rules method to conduct mining association rules on this to find the correlation between student's educational attributes and employment attributes;analyze and apply the rules. Employment information data experimental results show that the presented method is effective and feasible in mining the employment information data.关键词
数据挖掘/量化关联规则/k-means聚类算法/就业信息Key words
data mining/quantitative association rules/k-means clustering algorithm/employment information分类
信息技术与安全科学引用本文复制引用
张晓萍,朱玉全,陈耿..量化关联规则在高校就业信息数据中的应用[J].计算机技术与发展,2013,(11):199-202,212,5.基金项目
国家自然科学基金资助项目(71271117) （71271117）
江苏省科技型企业技术创新资金项目(BC2012201) （BC2012201）
