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Model Mining Method for Collaborative Behavior of Knowledge Agent in Innovation Ecosystem

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 302)

Abstract

Conventional model of cooperative behavior mining method, can carry on the analysis, data mining to the conventional collaborative behavior but for specific subject knowledge in innovation ecosystem cooperative behavior, and analysis of the data mining results shooting low deficiencies, therefore puts forward innovation ecosystem in knowledge collaborative behavior main body model of the mining method. Based on knowledge innovation ecosystem in the main body composition analysis of collaborative behavior model, used algebraic representation, data processing design collaborative behavior model, realized the coordinated behavior model of innovation ecosystem knowledge subject data processing; According to the parameter fitting of collaborative behavior of knowledge subject in innovation ecosystem, the mining results were displayed to realize the model mining of collaborative behavior of knowledge subject in innovation ecosystem. The experimental data show that the proposed collaborative behavior model mining method is 41.84% higher than the traditional mining method, which is suitable for the model mining of collaborative behavior of knowledge subjects in the innovation ecosystem.

Keywords

Innovation ecosystems Knowledge subject Cooperative behavior Model mining 

Notes

Acknowledgments

Supported by the National Natural Science Foundation of China (Grant No. 71771161).

Suzhou Science and Technology Program (Soft Science) Project (Grant No. SR201710).

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Business SchoolSuzhou University of Science and TechnologySuzhouChina

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