数据挖掘技术在科研项目量化与评价中的应用  

Application of data mining in the quantification and evaluation of science and research project

作　　者：陈小健[1] 宋承继[1] 

机构地区：[1]陕西工业职业技术学院科研处,陕西咸阳712000

出　　处：《电子设计工程》2015年第12期37-40,共4页Electronic Design Engineering

基　　金：陕西省教育厅专项科研计划项目(2013JK1166);陕西工业职业技术学院科研基金项目(ZK12-06)

摘　　要：针对高校科研项目量化与评价工作缺乏对量化数据进行理论分析的问题,提出了利用数据挖掘技术对高校科研项目量化数据进行挖掘分析,应用Apriori Tid算法获得了科研项目各项量化与评价指标之间的关联规则。该规则表明高校科研项目中省部级、自然学科类、经费在1万到4万之间的科研项目占项目总数的三分之一,且该类科研成果在专家总体评测中大多会被评为优秀,实践证明该关联规则对高校科研项目量化与评价工作具有借鉴意义。According to the problem of less theoretical analysis on quantitative data in Higher Vocational colleges, proposed the analysis of scientific research projects in Higher Vocational colleges in the quantitative data using data mining technology. The association rules between the quantification and evaluation index of scientific research project is obtained by applying the AprioriTid algorithm.This rule indicates that the provincial and ministerial level, funding in 10 000 to 40 000,natural science class of scientific research projects accounted for 1/3 of the total number In Higher Vocational Colleges.Practice shows that the association rules with reference to the work of quantification and evaluation of scientific research projects in Higher Vocational colleges.

关 键 词：数据挖掘 关联规则 APRIORITID算法 量化与评价 

分 类 号：TN02[电子电信—物理电子学]