A Predictive Model for Patent Registration Time Using Survival Analysis

Abstract: 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).