摘要
根据从德温特专利数据库中检索的专利数据,运用Apriori关联规则算法得到关于技术融合趋势的关联规则,然后通过基于差异思想的兴趣度模型验证规则的有效性,并在关联规则基础上利用信息熵评估企业核心技术领域分布及变化情况。最后,以安川电机和发那科公司为例进行实证分析。研究结果显示,基于差异思想的兴趣度模型弥补了关联规则因阈值设置主观性较强而导致部分规则无效的问题。
Based on the patent data of Derwent Innovations Index, using Apriori Association Rules Algorithm to get associ-ation rules about technological convergence trend, then the validity of the rules can be tested by the different ideological in-terest model,on the basis of the rules,we can use the information entropy to evaluate the core technology area in the en-terprise ,and the changes over time. The framework of the different ideological interest degree model based on associationrules can compensate some invalid rules caused by the threshold setting,that is , subjectivity is much stronger. The re-search take the Yaskawa and Fanuc Ltd as an example, and then come to the conclusion： the results proand effectiveness of the framework, and provide guidance for small and medium sized enterprises in the selection of key de-velopment technologies and products.
出处
《科技进步与对策》
CSSCI
北大核心
2017年第16期1-6,共6页
Science & Technology Progress and Policy
基金
国家社会科学基金重大项目(11&ZD140)
北京市教委青年拔尖人才培育计划项目(011000543114502)
关键词
技术融合
关联规则
兴趣度模型
信息熵
Technological Convergence
Association Rule
Interestingness Mode
Information Entropy
