The Data Mining of the Human Resources Data Warehouse in University Based on Association Rule

被引：12

作者：

Zhang Danping ^{[1
]}

Deng Jin ^{[1
]}

机构：

[1] Nanchang Hangkong Univ, Nanchang, Jiangxi, Peoples R China

来源：

JOURNAL OF COMPUTERS | 2011年 / 6卷 / 01期

关键词：

Human Resources Management; Association Rule; Feature Reduction; Data Mining;

D O I：

10.4304/jcp.6.1.139-146

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Based on an actual dataset of college human resources, we analyzed the data warehouse technologies and combined them with the pracical work. The snowflake structure has been described about a data warehouse of university human resource and the data warehouse has been constructed. This paper reduces and categorizes features by explorative data analysis. When the data warehouse had built and applied on human resources management in university, we studied mining technologies and processes based on association rule. Association rules show the relationship among teaching, research and social practices. The results of this study can be well explained and have some management suggestions on human resource management in university.

引用

页码：139 / 146

页数：8

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