skip to main content
10.1145/3482632.3487443acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiciscaeConference Proceedingsconference-collections
research-article

Research on Optimization of sports tourism route planning based on KDD from the perspective of knowledge map

Published:22 November 2021Publication History

ABSTRACT

Knowledge map technology is a new Internet technology. It has better foresight and advanced technology, and has broad application prospects. Knowledge map technology provides the ability to analyze problems from the perspective of "relationship", and can deeply mine data. Aiming at the poor performance of traditional sports tourism route planning system, a sports tourism route planning system based on data mining (KDD) from the perspective of knowledge map is designed. This paper studies the present situation of tourism route planning, introduces the methods used in tourism route planning, introduces the basic concept of association rule mining, and analyzes its main process. In order to prove that the system has better performance in sports route planning, the traditional sports tourism route planning system is added in the experiment to obtain the experimental results compared with this system. The experimental results show that the performance of this system is better than the traditional sports tourism route planning system, and it is more suitable for sports tourism route planning.

References

  1. Chen Xiaofan. Sports Tourism KDD and Analysis from the Perspective of Knowledge Graph. Hubei Sports Science and Technology, vol. 38, no. 212(01, pp. 42-45, 2019.Google ScholarGoogle Scholar
  2. Jia Bin, Lin Lan, Lin Hong, The evolution of the knowledge graph of domestic sports tourism research——Based on the quantitative analysis of CiteSpace. Tourism Research, vol. 10, no. 3, pp. 42-54, 2018.Google ScholarGoogle Scholar
  3. Xu Jinfu, Chen Haichun. Knowledge Graph Analysis of Sports Tourism Research in my country. Journal of Harbin Institute of Physical Education, vol. 37, no. 3, pp. 27-33, 2019.Google ScholarGoogle Scholar
  4. Qiao Zhou. Visual analysis of sports tourism research based on knowledge graph. Liaoning Sports Science and Technology, vol. 40, no. 6, pp. 1-7, 2018.Google ScholarGoogle Scholar
  5. Lu Tianxue. Research on the Visualization of my country's Sports Tourism Research Field Based on Knowledge Graph. Journal of Nanjing Sport University: Natural Science Edition, vol. 16, no. 2, pp. 134-140, 2017.Google ScholarGoogle Scholar
  6. Sun Wenping, Chang Liang, Bin Chenzhong, Travel route recommendation based on knowledge graph and frequent sequence mining. Computer Science, vol. 46, no. 2, pp. 56-61, 2019.Google ScholarGoogle Scholar
  7. Sun Bin, Song Zicheng, Wang Shitao. Visual analysis of the research field of the coordinated development of sports in my country based on the knowledge graph. Journal of Changchun Normal University (Natural Science Edition), vol. 38, no. 4, pp. 116-121, 2019 .Google ScholarGoogle Scholar
  8. Zhou Jing, Sun Ximin, Yu Xiaokun, etc. Knowledge Graph and Data Application-Intelligent Recommendation. Telecommunications Science, vol. 35, no. 8, pp. 171-178, 2019.Google ScholarGoogle Scholar
  9. Guo Chenxing. A preliminary study on the application of knowledge graphs in the field of intelligent black production KDD. Modern Commercial Bank Guide, no. 1, pp. 27-29, 2019.Google ScholarGoogle Scholar
  10. Zhu Yanru, Fan Yaqin, Zhao Yang. Knowledge model construction of adaptive learning system based on knowledge graph. Journal of Jilin University: Information Science Edition, vol. 36, no. 3, pp. 345-350, 2018.Google ScholarGoogle Scholar
  11. Gongyuanyuan. Design of the best tourism route planning system based on KDD. Electronic Design Engineering, vol. 28, no. 9, pp. 65-68, 2020.Google ScholarGoogle Scholar
  12. Zi Yunfei, Li Yeli, Sun Huayan, Application research of improved FP-Growth algorithm in tourism route planning. Computer and Modernization, no. 2, pp. 17-21, 26, 2018.Google ScholarGoogle Scholar
  13. Zhao Wenbo, Xu Caiming. Strategic planning for the development of sports tourism industry under the guidance of "Internet +". Shandong Sports Science and Technology, vol. 39, no. 2, pp. 90-94, 2017.Google ScholarGoogle Scholar
  14. Lan Shunling. The predicament and solution of the coordinated development of regional sports tourism under the background of the integration of the Yangtze River Delta. Journal of Shandong Institute of Physical Education, vol. 36, no. 5, pp. 115-122, 2020.Google ScholarGoogle Scholar
  15. Ma Lichao, She Hongliang. Research on the high-quality development of sports tourism industry in the Hexi Corridor based on RMP analysis. Journal of Lanzhou Jiaotong University, vol. 39, no. 2, pp. 146-152, 2020.Google ScholarGoogle Scholar
  1. Research on Optimization of sports tourism route planning based on KDD from the perspective of knowledge map

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
      September 2021
      2972 pages
      ISBN:9781450390255
      DOI:10.1145/3482632

      Copyright © 2021 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 November 2021

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited
    • Article Metrics

      • Downloads (Last 12 months)10
      • Downloads (Last 6 weeks)1

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format