Skip to main content

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 181))

  • 1344 Accesses

Abstract

In this paper, the feasibility of application of data mining in electronic business has been analyzed, and the research on the application that data mining is used in web design and client relation manage of electronic business in detail. Finally, a model of data mining system based on electronic business has been given.

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 299.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
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. Zhang, L.: A new efficient multi-level association rule mining algorithm. Northeast Normal University (Natural Science) 35(2), 15–20 (2002)

    Google Scholar 

  2. Han, J., Kamber, M.: Data Mining Concepts and Techniques, pp. 13–18. Mechanical Industry Press, Beijing (2001); Fan, M., Meng, X., trans.

    Google Scholar 

  3. Qi, M.: Electronic business Practical Guide, pp. 58–65. Higher Education Press, Beijing (2000)

    Google Scholar 

  4. Berson, A., Smith, S., Kurthearting: Build data mining applications for CRM, pp. 109–116. People’s Posts and Telecommunications Press, Beijing (2001); He, Q. trans.

    Google Scholar 

  5. Liu, H.-Z., et al.: An ontology- based architecture for distributed digital museums (DB/OL), http://ieeexplore.ieee.org/ie15/10231/32623/01526913.pdf

  6. Corby, O., Dieng-Kuntz, R., Faron-Zucker, C.: Querying the Semantic Web with the CORESE search engine. In: LoPez de Mantaras, R., Saittaeds, L. (eds.) Proc. of the 16th European Conference on Artificial Intelligence, ECAI 2004 Subconference PAIS 2004, Valencia (August 2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Junwei, D., Hongzhi, S. (2013). Research on Application of Data Mining in Electronic Business. In: Yang, G. (eds) Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Advances in Intelligent Systems and Computing, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31698-2_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31698-2_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31697-5

  • Online ISBN: 978-3-642-31698-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics