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01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 7 > No. 5


A Predictive Model for Patent Registration Time Using Survival Analysis

PP: 1819-1823
Sunghae Jun, Daiho Uhm,
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).

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