基于高校人事信息库的数据挖掘研究

运用关联规则发现技术对人事信息库进行数据挖掘，寻找影响学科发展的因素，发现应如何评价一个学科，以及影响学科发展的各要素间的关联关系。该文分析和指出了现有一些挖掘算法的优缺点，提出了Ｔｉｄ－ｏｐｔｉｍ算法，并对发现的规则进行分析，结合实际工作，为管理决策提供参考。

Research of Data Mining Based on Personnel Databases

In this thesis,we take advantage of the technique of discovering association rules to mine knowledge in persounnel databases,to find the reason of influencing the development of subjects, to discover how to evaluate a subject and association relationship among elements of influencing the development of subjects.After analyzing and pointing out the advantages and disadvantages of some algorithms, we propose Tid -optim algorithm. We analyze the discovered rules and combine them with the practical work. It contributes to management and decision.