Abstract | ||
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Patents embody both fundamental researches and technologies, while patent analysis can reflect the technological development trend, grasp the competitive situation of technical subjects effectively, and track technical competitions among countries rapidly. In this paper, a patent data mining method is designed, covering five parts, including the data acquisition, data pre-processing, core dataset construction, network construction and visualization analysis. Besides, technological development trend can be analyzed. Finally, the patent data of soybean breeding techniques is selected for instance analysis. |
Year | Venue | Keywords |
---|---|---|
2016 | 2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | patent data mining, technology evolution, knowledge transfer, citation analysis |
Field | DocType | ISSN |
Data science,Technology development,Technological evolution,GRASP,Visualization,Computer science,Data acquisition,Knowledge transfer,Citation analysis,Patent visualisation | Conference | 2474-0217 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xinning Hao | 1 | 0 | 0.34 |
Nengfu Xie | 2 | 18 | 8.62 |
Wei Sun | 3 | 72 | 29.00 |