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Design of Chinese Linguistics Teaching System Based on K-means Clustering Algorithm

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Cyber Security Intelligence and Analytics (CSIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 123))

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Abstract

With the rapid development of Internet technology, a variety of network application software have sprung up. The traditional teaching model can not meet the learning needs of students. The education websites that have sprung up and grown rapidly under the web environment just make up for this defect. Therefore, based on K-means clustering algorithm, this paper designs and develops a Chinese linguistics course system. Firstly, this paper expounds the concept of MOOC system, and then explains the development process of Chinese Linguistics network teaching. Then, based on K-means clustering algorithm, this paper designs and develops the framework of Chinese Linguistics MOOC system, and analyzes the audience, student group and system performance of Chinese Linguistics MOOC system respectively. Finally, the test results show that, the response time and delay time of each module of the system are basically about 2–3 s, and the utilization rate of the client CPU is also about 1%–2%, and the operation process shows that the performance of the system can meet the use needs of users.

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Author information

Authors and Affiliations

  1. Inner Mongolia Vocational College of Chemical Engineering, Hohhot, China

    Hongling Ma

Authors
  1. Hongling Ma
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  2. Department of Information Systems and Security, College of IT, United Arab Emirates University (UAEU), Abu Dhabi, United Arab Emirates

    Saed Alrabaee

  3. Altair Management Consultants, Madrid, Spain

    Octavio Loyola-González

  4. Department of Info Systems & Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

  5. Informatics Faculty, Telkom University, Bandung, Indonesia

    Niken Dwi Wahyu Cahyani

  6. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia

    Nurul Hidayah Ab Rahman

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Ma, H. (2022). Design of Chinese Linguistics Teaching System Based on K-means Clustering Algorithm. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-030-96908-0_53

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