Skip to main content
SpringerLink
Log in
Book cover

Joint International Conference on Pervasive Computing and the Networked World

ICPCA/SWS 2013: Pervasive Computing and the Networked World pp 586–592Cite as

Research on Retail Sales Management System Based on Data Mining Technology

  • Conference paper

  • 3075 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8351))

Abstract

This paper established a database system for sales, customer, freight, consumption, services, and other information based on the panel sales activity of a building material company through e-commerce. The emphasis of our proposed research in this paper is to apply the decision number C4.5 algorithm of data mining in product sales system. In addition, the original simple query for sales data is replaced with finding the real factors for influencing product sales. The main research work in this paper includes the selection algorithm in data mining, interpretation and evaluation of results.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Han, J., Kamber, M.: Data Mining Concepts and Techniques, vol. 31, pp. 12–18. Mechanical Industry Press, Beijing (2008)

    Google Scholar 

  2. Kaiji, L.: Data Warehouse and Data Mining (21 century national practical undergraduate planning materials for e-commerce and information management series, pp. 14–27. Peking University Press, Beijing (2008)

    Google Scholar 

  3. Hong, Z.: Research of Association Rule Mining Algorithm. Harbin University of Science and Technology, Master’s Thesis, Heilongjiang (2007)

    Google Scholar 

  4. Chenan, B., Ning, C., Longxiang, Z., et al.: Data Mining Technology and Application. Science Publishing Company, Beijing (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Anhui Wonder University of Information Engineering, Hefei, China

    Tong Wei

  2. Computer Department of Shandong University at Weihai, China

    Gong Peng

Authors
  1. Tong Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gong Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Logistics Engineering, Wuhan University of Technology, 430063, Wuhan, Hubei, China

    Qiaohong Zu

  2. Facultad de Ingenieria y Ciencias Universidad Adolfo Ibanez, Vina del Mar, Chile

    Maria Vargas-Vera

  3. Fujitsu, Hayes, Middlesex, UK

    Bo Hu

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Wei, T., Peng, G. (2014). Research on Retail Sales Management System Based on Data Mining Technology. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09265-2_59

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09264-5

  • Online ISBN: 978-3-319-09265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation