Applied Mathematics & Information Sciences
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).
Suggested Reviewers
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Recommended Citation
Jun, Sunghae and Uhm, Daiho
(2013)
"A Predictive Model for Patent Registration Time Using Survival Analysis,"
Applied Mathematics & Information Sciences: Vol. 07:
Iss.
5, Article 20.
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol07/iss5/20