标题:Data Analysis of Railway Industry Patents
作者:Zhang, Yao; Zhang, Gening
通讯作者:Zhang, Y
作者机构:[Zhang, Yao] Shandong Univ, Sch Mech Elect & Informat Engn, 180 Wenhua Rd West, Weihai, Peoples R China.; [Zhang, Gening] Univ Manchester, Sch Comp 更多
会议名称:2nd International Conference on Big Data Research (ICBDR)
会议日期:OCT 27-29, 2018
来源:PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA RESEARCH (ICBDR 2018)
出版年:2018
页码:27-32
DOI:10.1145/3291801.3291836
关键词:Patents of railway industry; data analysis; ARMA model; prediction; accuracy; patent value evaluation
摘要:In this paper, we analyze patents of railway industry in international patent database produced by the European Patent Office from year 2013 to 2017. Based on statistics of patent records in database, we build Auto-Regressive-Moving-Average (ARMA) models to predict the number of different types of patents in railway industry, the analysis results show that high prediction accuracy can be obtained. Furthermore, we propose a patent value evaluation scheme to evaluate patent values in railway industry. Through our work, the hot research spots, technology trajectories and development tendency of patents in railway industry can be adequately understood.
收录类别:CPCI-S
资源类型:会议论文
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