Harmonizing and Combining Large Datasets - An Application to Firm-Level Patent and Accounting Data
收藏NBER2010-03-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w15851
下载链接
链接失效反馈官方服务：
资源简介：
This paper discusses methods for the harmonization and combination of large-scale patent and trademark datasets with each other and other sources of data. Dictionary- and rule-based approaches to the consolidation of applicant names in patent data are presented and shown to have both benefits and
本文探讨了大规模专利与商标数据集之间，以及此类数据集与其他数据源之间的协调与融合方法。文中提出了针对专利数据中申请人名称整合的基于词典与规则的方法，并证实此类方法兼具优势与
提供机构：
美国国家经济研究局
创建时间：
2010-03-01
