Nanchang Hangkong University, Nanchang, China

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Abstract—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.

Index Terms—Human Resources Management, Association Rule, Feature Reduction, Data Mining

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Cite: Zhang Danping, Deng Jin, "The Data Mining of the Human Resources Data Warehouse in University Based on Association Rule," Journal of Computers vol. 6, no. 1, pp. 139-146, 2011.