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D3M Methodology

  • Longbing Cao
  • Chengqi Zhang
  • Philip S. Yu
  • Yanchang Zhao
Chapter

Abstract

On the basis of the discussions and retrospection on existing data mining methodologies and techniques in Chapter 1, this chapter presents an overall picture of domain driven data mining (D 3 M). We focus on the high level of architecture and concepts of the D 3 M methodology.

Keywords

Data Mining Business Process Domain Knowledge Domain Expert Actionable Knowledge 
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 Science+Business Media, LLC 2010

Authors and Affiliations

  • Longbing Cao
    • 1
  • Chengqi Zhang
    • 1
  • Philip S. Yu
    • 2
  • Yanchang Zhao
    • 1
  1. 1.Fac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent SystemsUniversity of Technology, SydneySydneyAustralia
  2. 2.Department of Computer ScienceUniversity of Illinois, ChicagoChicagoUSA

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