【摘要】 技术融合为科技创新发展提供了重要基础。采用Apriori算法，通过关联规则对跨4个及以上国际专利分类（IPC）部类的美国发明授权专利的跨领域技术融合态势进行分析。研究发现，IPC的B部、G部、H部、C部出现频次大于20 000次，是频繁发生技术融合的领域；大类G06到H04的关联规则支持度为0.066，反映了人工智能与通信技术领域的融合趋势；小类C07K和A61K的支持度为0.016、C12Q和G01N的支持度达到0.027，揭示了材料测试技术与生物、医药领域的技术融合态势。通过关联规则挖掘美国技术融合轨道，揭示技术融合发展态势，为我国科技创新以及高校交叉学科建设提供启示。更多还原

【Abstract】 Technological convergence provides an important foundation for the development of scientific and technological innovation. In this paper, Apriori algorithm is used to analyze the cross-domain technology integration situation of US Utility patents(USP) across four or more International Patent Classification(IPC)sections through association rules. According to calculations, the frequency of occurrence of sections B, G, H,and C of the IPC of the USP is greater than 20 000 times, which is the field where technology convergence occurs frequently; Support of association rule for class G06 to H04 is 0.066, reflecting the convergence trend of artificial intelligence and communication technology. Support of the subclasses C07K and A61K is 0.016, and support of C12Q and G01N reaches 0.027, revealing the interdisciplinary direction of materials testing techniques, biology and medicine. Through the association rules, the track of technology integration of the United States is excavated,and the situation of technology convergence development is revealed, which provides references for technology innovation, as well as construction of interdisciplinary disciplines in universities.更多还原