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Research on the Trend of Technology Convergence Based on Association Rules and Information Entropy |
Miao Hong1,Zhang Junzhe1,Huang Lucheng1,2,Lou Yan1 |
1.School of Economics and Management, Beijing University of Technology,Beijing 100124,China;2.Collaborative Innovation Center of Capital Society-Building & Social Governance, Beijing 100124,China |
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Abstract Based on the patent data of Derwent Innovations Index, using Apriori Association Rules Algorithm to get association rules about technological convergence trend, then the validity of the rules can be tested by the different ideological interest model, on the basis of the rules, we can use the information entropy to evaluate the core technology area in the enterprise, and the changes over time. The framework of the different ideological interest degree model based on association rules can compensate some invalid rules caused by the threshold setting, that is, subjectivity is much stronger. The research take the Yaskawa and Fanuc Ltd as an example, and then come to the conclusion:the results proved the feasibility and effectiveness of the framework, and provide guidance for small and medium sized enterprises in the selection of key development technologies and products.
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Received: 02 December 2016
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Corresponding Authors:
Miao Hong
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