a Dataset of Disruptive Technology Weak Signal Recognition Models Based on Machine Learning

Name: a Dataset of Disruptive Technology Weak Signal Recognition Models Based on Machine Learning
Creator: 中国科学院武汉文献情报中心; 中国科学院大学
Published: 2024-04-07T00:00:00+08:00

科学数据银行2024-07-26 更新2026-04-23 收录

颠覆性技术弱信号识别

氢能专利分析

数据链接：

https://www.scidb.cn/detail?dataSetId=b5f683d4314643b095353fdfecb1f6c2 数据链接链接失效反馈

官方服务：

资源简介：

The data comes from the patent database Incopat and includes hydrogen energy strategic plans of various countries. A total of 41466 invention patents were obtained, and after simple homologous mergers, 14897 invention patents and 24 hydrogen energy strategic plans were obtained. The main process and result data are as follows:Comparison of DI-P, RDI, and DI recognition effects. xlsxMulti machine learning prediction results. xlsxLink prediction recognition results. csvProspective Phrase List Matching Results.xlsxRelative Disruptive Index Distribution. xlsxBasic information of cited patents. xlsMainstream technology patent data, xlsx

提供机构：

中国科学院武汉文献情报中心; 中国科学院大学

创建时间：

2024-04-07

a Dataset of Disruptive Technology Weak Signal Recognition Models Based on Machine Learning

资源简介：

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