摘要
针对高校与企业机械类创新人才双向流动的特点,提出了一种基于本体及关联规则的决策系统构建方法,设计并实现了以Apriori算法为核心的满足长效机制的人才双向流动决策系统。该系统按照人才的流动情况构建了本体,在此基础上利用改进的Apriori算法对本体知识进行挖掘。实验结果表明该算法减少了扫描次数,提高了挖掘效率。
According to the characteristics of the two-way flow of mechanical talents between college and enterprise,the paper puts forward a method to construct a decision-making system based on ontology and association rules. The decision system of talent two-way flow which takes the Apriori algorithm as the core is designed and implemented to meet long-term mechanism. The system ontology is constructed according to the talents flow based on this,and ontology knowledge is mined using the improved Apriori algorithm. The experimental results show that the algorithm reduces the number of scanning and can improve the efficiency of mining.
出处
《系统科学学报》
CSSCI
2014年第4期77-80,共4页
Chinese Journal of Systems Science
基金
山西省软科学研究项目(2012041031-01)