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Related Experiment Video

Updated: Jun 18, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Construction framework of smart tourism big data mining model driven by blockchain technology.

Xiaowen Long1, Weiqiang Chen1

  • 1Guilin Tourism University, Guilin, 541006, Guangxi, China.

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Summary

This study applies big data mining to smart tourism, integrating blockchain for secure data. Results show smart tourism big data mining models are scalable and efficient with increased nodes.

Keywords:
Big data miningBlockchain technologyInformation securitySmart tourism

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Area of Science:

  • Computer Science
  • Information Technology
  • Tourism Management

Background:

  • The tourism market is evolving with personalized demand and mobile consumption in the sharing economy.
  • Smart tourism aims to leverage technology for enhanced tourist experiences and operational efficiency.
  • Integrating big data and blockchain offers potential for secure and transparent tourism platforms.

Purpose of the Study:

  • To apply big data mining techniques to smart tourism.
  • To explore the integration of blockchain technology in smart tourism for data security and transparency.
  • To test the operational efficiency and scalability of smart tourism platforms.

Main Methods:

  • Big data mining techniques, including image summary selection and collaborative filtering.
  • Blockchain integration using decentralized structures and smart contracts.
  • Platform testing involving data preparation and operational efficiency evaluation.

Main Results:

  • The smart tourism big data mining model demonstrated effectiveness with minimum data support thresholds of 10% and 20%.
  • Increased numbers of nodes in the dataset led to a gradual decrease in running time, indicating improved efficiency.
  • The research confirmed the strong scalability of smart tourism big data mining.

Conclusions:

  • Big data mining and blockchain integration are crucial for advancing smart tourism.
  • Smart tourism platforms exhibit significant scalability and operational efficiency.
  • The findings highlight the practical application value and development potential of smart tourism.