Skip to main content

Research on Individual Tourism Service System Based on Web Mining

  • Conference paper
Advances in Computer Science and Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 141))

  • 1457 Accesses

Abstract

This essay puts forward the model of the individual tourism service system based on Web mining, and has a detailed introduction to the compose and function of this system, and has clusters analysis and association rules analysis to the individual tourism service, and at last, puts forward the design thought and achieving algorithm of the individual tourism service system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Schafer, J.B., Konstan, J.A., Ried, J.: E-commerce recommendation applications. Journal of Data Mining and Knowledge Discovery 2, 115–152 (2001)

    Article  Google Scholar 

  2. Freitag, D., McCallum, A.: Information extraction with HMM structures learned by stochastic optimization. In: Proceedings of the Eighteenth Conference on Artificial Intelligence, pp. 76–82 (2000)

    Google Scholar 

  3. Du, J., Guo, W., Wang, R.: Forecasting Model of Holiday Tourism Requirement on the Basis of RBF Neural Network. Intelligent Systems Design and Applications 1, 677–682 (2006)

    Article  Google Scholar 

  4. Lin, Y.-S., Huang, J.-Y.: Internet blogs as a tourism marketing medium: A case study. Journal of Business Research 59, 1201–1205 (2006)

    Article  Google Scholar 

  5. Conrady, R.: Travel technology in the era of Web 2.0. Trends and Issues in Global Tourism, 165–184 (2007)

    Google Scholar 

  6. Doris, S.: Blogs in tourism: Changing approaches to information exchange. Journal of Vacation Marketing 14, 99–110 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liu Xiuhua .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Xiuhua, L. (2012). Research on Individual Tourism Service System Based on Web Mining. In: Zeng, D. (eds) Advances in Computer Science and Engineering. Advances in Intelligent and Soft Computing, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27948-5_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27948-5_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27947-8

  • Online ISBN: 978-3-642-27948-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics