Skip to main content
Springer Nature Link
Log in

An Agent for the HCARD Model in the Distributed Environment

  • Conference paper
Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

Included in the following conference series:

  • 1727 Accesses

Abstract

In this study, we will employ a multi-agent for searching and extraction of data. We will use Integrator Agent based on CORBA architecture for the proposed model on hierarchical Clustering and Association Rule Discovery (HCARD). The model will address the inadequacy of other data mining tools in processing performance and efficiency when use for knowledge discovery. The result revealed faster searching using the agents. Our experiment also shows that the HCARD generated isolated but imperative association rules which in return could be practically explained for decision making purposes. Shorter processing time had been noted in computing for smaller clusters implying ideal processing period than dealing with the entire dataset.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. El-Beltagy, S., DeRoure, D.C., Hall, W.A.: Multiagent system for Navigation Assistance & Information Finding. In: Proceedings of the Fourth International Conference on the Practical Application of Intelligent Agents & Multi-Agent Technology, pp. 281–295 (1999)

    Google Scholar 

  2. Han, J., Kamber, M.: Data Mining Concepts & Tech., USA. Morgan Kaufmann, San Francisco (2001)

    Google Scholar 

  3. Margaritis, D., Faloutsos, C., Thrun, S.: NetCube: A Scalable Tool for Fast Data Mining & Compression. In: Conference on Very Large Databases (VLDB), Italy, pp. 311–320 (2001)

    Google Scholar 

  4. Coulouris, G., Dollimore, J., Kinderberg, T.: Distributed Systems: Concepts and Design, USA. Addison-Wesley, Reading (2001)

    Google Scholar 

  5. Object Management Group (OMG). Common Object Resource Broker Architecture (CORBA) (2005), Available at http://www.omg.org

  6. Siourbas, C.: Determining the Number of Clusters (2005), Available at http://cgm.cs.mcgill.ca/~soss/cs644/projects/siourbas

  7. Hellerstein, J.L., Ma, S., Perng, C.S.: Discovering actionable patterns in event data. IBM Systems Journal 41(3), 475–493 (2002)

    Article  Google Scholar 

  8. Lam, J.M.W.: Multi-Dimensional Constrained Gradient Mining. Published Master’s Thesis, Simon Fraser University (2001)

    Google Scholar 

  9. Chen, B., Haas, P., Scheuermann, P.: A new two-phase sampling based algorithm for discovering association rules. In: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 462–468 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kunsan National University, 68 Miryong-dong, Kunsan, Chonbuk, 573-701, South Korea

    Bobby D. Gerardo, Jae-Wan Lee, Jae-jeong Hwang & Jung-Eun Kim

Authors
  1. Bobby D. Gerardo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jae-Wan Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jae-jeong Hwang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jung-Eun Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yuping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security (Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gerardo, B.D., Lee, JW., Hwang, Jj., Kim, JE. (2005). An Agent for the HCARD Model in the Distributed Environment. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_161

Download citation

  • DOI: https://doi.org/10.1007/11596448_161

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics