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An Analysis of Radiation Fusion Technology-Related Patents Using Statistical Methods and Data Mining Techniques

Affiliations

  • Department of Statistics, Cheongju University, Korea, Republic of
  • Department of Radiological Science, Jeonju University, Korea, Republic of
  • Department of Basic Medical Science, Jeonju University, Korea, Republic of

Abstract


Background/Objectives: This study was conducted to identify the trends related to the patents for ‘radiation anti-oxidation technology’, and to perform technological forecasting for that technology using statistical methods and data mining techniques. Methods/Statistical Analysis: The extraction of patents for analysis was carried out using a website KIPRIS. Documents including the words ‘irradiation’ and ‘anti-oxidation’ were searched for to target patents registered between January 1999 and January 2015. Finally, a total of 512 patent documents were selected as analysis objects through an editing process. Findings: Key finds are as follows. First, most of the top 10 patents are related to cosmetic development, drug development and food processing. Second, in terms of the degree of support, the degree is high when a technology of A61Q 19/08 is first developed and then a technology of A61K 8/97 is developed. Third, in the top association rules identified using 491 IPC codes included in 512 RFT-related patent documents, the technologies of “proliferation of flowering plants using tissue culture technology” are developed. Application/Improvements: The findings of this study are significant as they have derived basic data for technological forecasting by identifying specific information about core technology factors included in each patent for radiation anti-oxidation technology.

Keywords

Data Mining, IPC Code, Patent, Radiation Fusion Technology, Statistical Analysis.

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