The WWW Based Data Mining Toolbox Architecture

  • Lukasz Kurgan
  • Krzysztof J. Cios
  • Michael Trombley
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)


This paper presents the Data Mining (DM) toolbox architecture based on cutting edge World Wide Web (WWW) technologies. The DM toolbox is used to discover new and useful knowledge by integrating results generated by multiple DM tools. The proposed architecture allows submission of data to the DM toolbox and generation of results that combine knowledge generated by several different DM tools. The DM toolbox dynamically finds DM tools that are relevant to a specific data mining task, submits the data to the tools, receives results of their analysis, and combines the results to generate a final report. The proposed architecture will increase the usability of DM tools, helping achieve a more consistent and better integrated Data Mining and Knowledge Discovery (DMKD) process.


Simple Object Access Protocol Domain Name System Data Mining Method Data Mining Tool Knowledge Repository 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Lukasz Kurgan
    • 1
    • 2
  • Krzysztof J. Cios
    • 1
    • 2
    • 3
    • 4
  • Michael Trombley
    • 1
  1. 1.Dept. of Computer Science and EngineeringUniversity of Colorado at DenverUSA
  2. 2.Dept. of Computer ScienceUniversity of Colorado at BoulderUSA
  3. 3.University of Colorado Health Sciences CenterDenverUSA
  4. 4.4cData, LLCGoldenUSA

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