Skip to main content

A Data Mining Algorithm Based on Grid

  • Conference paper
Grid and Cooperative Computing (GCC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3033))

Included in the following conference series:

  • 353 Accesses

Abstract

In this paper,a data mining algorithm that can work on the grid is presented. First, we have built a grid platform of experiment, and have finished the infrastructure’s design and debug. Then, we have developed software of data mining. The software is running on the grid platform. The load-balance and generating large itemset using multi-segment are discussed in our algorithm. The experiment’s result indicates that the computing capability of data mining based grid has apparent superiority over the uniprocessor’s. The grid platform, which we have built, has actual developing ability of data mining.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1998)

    Google Scholar 

  2. Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration (January 2002), http://www.Globus.org/research/papers/ogsa.pdf

  3. Czajkowski, K., Foster, I., Kesselman, C., Karonis, N., Martin, S., Smith, W., Tuecke, S.: A resource management architecture for metacomputing systems. In: Feitelson, D.G., Rudolph, L. (eds.) IPPS-WS 1998, SPDP-WS 1998, and JSSPP 1998. LNCS, vol. 1459, pp. 62–82. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International J. Supercomputer Applications 15(3) (2001)

    Google Scholar 

  5. Xiong-Fei, L.: A Data Mining Algorithm Based on Calculating Multi-Segment Support. Chinese J. Computer 6, 661–665 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zang, Xb., Li, Xf., Zhao, K., Guan, X. (2004). A Data Mining Algorithm Based on Grid. In: Li, M., Sun, XH., Deng, Q., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24680-0_128

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24680-0_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21993-4

  • Online ISBN: 978-3-540-24680-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics