Applied Mathematics & Information Sciences
The infringements and suits of patents have been increased in many technological fields. Since a patent is an intellectual property to protect inventors’ exclusive rights of developed technologies, technological pre-occupancy is very important to the development of companies. For the technological pre-occupancy a patent registration time is surely important. In this paper we propose a predictive model of the patent registration time using survival analysis with a Weibull survival regression model and a Cox’s proportional hazard model. They are modeled on the number of international patent classifications (IPC) codes and keywords. To verify the proposed models, we perform a case study using the retrieved patent documents of ’hybrid vehicle’ from the website of United State Patent and Trademark Office (USPTO).
Jun, Sunghae and Uhm, Daiho
"A Predictive Model for Patent Registration Time Using Survival Analysis,"
Applied Mathematics & Information Sciences: Vol. 07:
5, Article 20.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss5/20