Publisher : Korean Institute of Intelligent Systems
DOI : 10.5391/JKIIS.2016.26.3.190
Title & Authors
A R&D strategies for development using structured association map Song, Wonho; Lee, Junseok; Park, Sangsung;
A technology is continuously developed in a rapidly changing global market. A company requires an appropriate R&D strategy for adapting to this environment. That is, the technologies owned by the company needs to be thoroughly analyzed to improve its competitiveness. Alternatively, technology classification using IPC codes is carried out recently in an objective and quantitative way. International Patent Classification, IPC is an internationally specified classification system, so it is helpful to conduct an objective and quantitative patent analysis of technology. In this study, all of the patents owned by company C are investigated and a matrix representing IPC codes of each patent is created. Then, a structured association map of the patents is made through association rules mining based on Confidence. The association map can be used to inspect the current situation of a company about patents. It also allows highly associated technologies to be clustered. Using the association map, this study analyzes the technologies of company C and how it changes with time. The strategy for future technologies is established based on the result.
J. Lee, J. Lee, G. Kim, S. Park, D. Jang, “Establishment of Strategy for Management of Technology Using Data Mining Technique,” Journal of Korean Institute of Intelligent Systems, Vol. 25, No. 2, pp. 126-132, 2015.
T. Montecchi, D. Russo, Y. Liu, "Searching in Cooperative Patent Classification: Comparison between keyword and concept-based search," Advanced Engineering Informatics, Vol. 27, pp. 335-345, 2013.
S. Jun, S. Lee, J. Ryu, S. Park, “A Novel Method of IP R&D using Patent Analysis and Expert Survey,” Queen Mary Journal of Intellectual Property, Vol. 5, No. 4, pp. 474-494, 2015.
W. Lee, "Analysis of technology industry linkage and korean firms'patent strategy utilizing information from patent database" Science & Technology policy institute, pp. 16-17, 2004.
J. Kim, "Structured Association Map for Visualizing Association Rules," The Korea Contents Society Conference, pp. 325-326, 2015.
S. Jun, S. Park, D. Jang, "Patent analysis & technology forecasting," Kyowoo publishing company, pp. 76-78, 2014.
J. Park, H. Chung, “An Effective Reduction of Association Rules using a T-Algorithm,” Korean Institute of Intelligent System, Vol. 19, No. 2, pp. 285-290, 2009.
J. Lee, H. Chung, J. Kim, “Implementation of purchasing pattern classification system using neural network and association rules,” Korean Institute of Intelligent System, Vol. 13, No. 5, pp. 530-538, 2003.
S. Jun, “A big data learning for patent analysis,” Korean Institute of Intelligent System, Vol. 23, No. 5, pp. 406-411, 2013.
K. Lee, K. Lee, “Mining of subspace contrasting sample groups in microarray data,” Korean Institute of Intelligent System, Vol. 21, No. 5, pp. 569-574, 2011.