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Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I

Research Article

Web Database Sharing Platform Design Based on Large Data Visualization of Learning Behavior

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  • @INPROCEEDINGS{10.1007/978-3-030-51100-5_29,
        author={Fang Meng and Guo-gen Fan},
        title={Web Database Sharing Platform Design Based on Large Data Visualization of Learning Behavior},
        proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I},
        proceedings_a={ICMTEL},
        year={2020},
        month={7},
        keywords={Learning behavior Big data Visualization Network database Shared platform},
        doi={10.1007/978-3-030-51100-5_29}
    }
    
  • Fang Meng
    Guo-gen Fan
    Year: 2020
    Web Database Sharing Platform Design Based on Large Data Visualization of Learning Behavior
    ICMTEL
    Springer
    DOI: 10.1007/978-3-030-51100-5_29
Fang Meng1,*, Guo-gen Fan2
  • 1: Huali College Guangdong University of Technology
  • 2: Guangzhou Huali Science and Technology Vocational College
*Contact email: mengfang845@163.com

Abstract

In order to improve the sharing ability of network database in the visual environment of learning behavior big data, a design method of network database sharing platform based on big data visual analysis of learning behavior is proposed. The piecewise linear coding method is used to collect the characteristics of the network database in the visual environment of learning behavior. The characteristics of association rules of network database shared resources in big data visual environment are extracted, the optimal structure of network database shared resources is reorganized by adaptive spatial resource reorganization method, the optimal storage spatial distribution model of network database shared resources is established, and the statistical analysis method is used to search the association of network database shared resources in big data visual environment. The feature quantity of association rules of network database sharing resources is extracted, and security sharing of network database sharing resources is carried out according to the clustering of feature quantity. The network database sharing platform is designed in embedding ARM environment. The simulation results show that this method has good adaptability and security, and improves the level of resource sharing.

Keywords
Learning behavior Big data Visualization Network database Shared platform
Published
2020-07-19
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-51100-5_29
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