this paper aims to devise a novel method for identifying how patent characteristics associated with patent litigation. Large-scale patents granted by the USPTO together with litigation data are converted to items which associations are analyzed by association rule mining. The items considered in this research, for example, Assignee Country, Assignee Country Count, Inventor Country, Inventor Country Count, Number of Patent Reference, Number of Forward Citation, Number of NPR, Number of Foreign Reference, and Numbers of Claim. Obtained with the association relationship depicted by the three variables, 1) Confidence, 2) Support, 3) Lift, an associated network of patents' characteristics can be visually created to understand the landscape of associative relations. The association results uncovered in this research provide a channel to assess whether or not a patent is likely to involve in litigation. Therefore, the influence of patent's intrinsic property hidden in patent's characteristics on the likelihood of infringement can be analyzed.
|Title of host publication
|PICMET 2017 - Portland International Conference on Management of Engineering and Technology
|Subtitle of host publication
|Technology Management for the Interconnected World, Proceedings
|Timothy R. Anderson, Kiyoshi Niwa, Dundar F. Kocaoglu, Tugrul U. Daim, Dilek Cetindamar Kozanoglu, Gary Perman, Harm-Jan Steenhuis
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 29 Nov 2017
|2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017 - Portland, United States
Duration: 9 Jul 2017 → 13 Jul 2017
|PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings
|2017 Portland International Conference on Management of Engineering and Technology, PICMET 2017
|9/07/17 → 13/07/17